Job description S&P Dow Jones Indices is seeking a Python/Bigdata developer to be a key player in the implementation and support of data Platforms for S&P Dow Jones Indices. This role requires a seasoned technologist who contributes to application development and maintenance. The candidate should actively evaluate new products and technologies to build solutions that streamline business operations. The candidate must be delivery-focused with solid financial applications experience. The candidate will assist in day-to-day support and operations functions, design, development, and unit testing. Responsibilities and Impact: Lead the design and implementation of EMR Spark workloads using Python, including data access from relational databases and cloud storage technologies. Implement new powerful functionalities using Python, Pyspark, AWS and Delta Lake. Independently come up with optimal designs for the business use cases and implement the same using big data technologies. Enhance existing functionalities in Oracle/Postgres procedures, functions. Performance tuning of existing Spark jobs. Respond to technical queries from operations and product management team. Implement new functionalities in Python, Spark, Hive. Enhance existing functionalities in Postgres procedures, functions. Collaborate with cross-functional teams to support data-driven initiatives. Mentor junior team members and promote best practices. Respond to technical queries from the operations and product management team. What Were Looking For: Basic Required Qualifications: Bachelors degree in computer science, Information Systems, or Engineering, or equivalent work experience. 5 - 8 years of IT experience in application support or development. Hands on development experience on writing effective and scalable Python programs. Deep understanding of OOP concepts and development models in Python. Knowledge of popular Python libraries/ORM libraries and frameworks. Exposure to unit testing frameworks like Pytest. Good understanding of spark architecture as the system involves data intensive operations. Good amount of work experience in spark performance tuning. Experience/exposure in Kafka messaging platform. Experience in Build technology like Maven, Pybuilder. Exposure with AWS offerings such as EC2, RDS, EMR, lambda, S3,Redis. Hands on experience in at least one relational database (Oracle, Sybase, SQL Server, PostgreSQL). Hands on experience in SQL queries and writing stored procedures, functions. A strong willingness to learn new technologies. Excellent communication skills, with strong verbal and writing proficiencies. Additional Preferred Qualifications: Proficiency in building data analytics solutions on AWS Cloud. Experience with microservice and serverless architecture implementation. Role: Full Stack Developer Industry Type: Banking Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Python RDSS3PysparkPostgreSQLBigdataRedisEMRSQL ServerKafka messagingSybaselambdaEC2ORM librariesOracle

Job description What you can expect: An unmatched experience in handling huge volumes of data, analytics, visualization, and services over cloud technologies along with appreciation in product development life cycle to convert an idea into revenue generating stream. Responsibilities: We are looking for a self-motivated, enthusiastic and passionate software engineer to develop technology solutions for S&P global marketplace product. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, big data, machine learning and multi-cloud. The development is already underway so the candidate would be expected to get up to speed very quickly & start contributing. Experience implementing: Web Services (with WCF, RESTful JSON, SOAP, TCP), Windows Services, and Unit Tests. Have past experience working with AWS, Azure DevOps, Jenkins, Docker, Kubernetes/EKS, Ansible and Prometheus or related cloud technologies. Have good understanding of single, hybrid and multicloud architecture with preferably hands-on experience. Active participation in all scrum ceremonies, follow AGILE best practices effectively. Play a key role in the development team to build high-quality, high-performance, scalable code. Produce technical design documents and conduct technical walkthrough. Document and demonstrate solutions using technical design docs, diagrams and stubbed code. Collaborate effectively with technical and non-technical stakeholders. Respond to and resolve production issues. What we are looking for: Minimum of 5-8 years of significant experience in application development. Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development. Experience working with high volume data and computationally intensive system. Garbage collection friendly programming experience - tuning java garbage collection & performance is a must. Proficiency in the development environment, including IDE, web & application server, GIT, Continuous Integration, unit-testing tool and defect management tools. Domain knowledge in Financial Industry and Capital Markets is a plus. Excellent communication skills are essential, with strong verbal and writing proficiencies. Mentor teams, innovate and experiment, give face to business ideas and present to key stakeholders. Required technical skills: Build data pipelines. Utilize platforms like snowflake, talend, databricks etc. Utilize cloud managed services like AWS Step functions, AWS Lambda, AWS DynamoDB Develop custom solutions using Apache nifi, Airflow, Spark, Kafka, Hive, and/or Spring Cloud Data Flow. Develop federated data services to provide scalable and performant data APIs, REST, GraphQL, OData. Write infrastructure as code to develop sandbox environments. Provide analytical capabilities using BI tools like tableau, power BI etc. Feed data at scale to clients that are geographically distributed. Experience building sophisticated and highly automated infrastructure. Experience with automation tools such as terraform, Cloud technologies, cloud formation, ansible etc., Demonstrates ability to adapt to new technologies and learn quickly. Desirable technical skills: Java, Springboot, React, HTML/CSS, API development, micro-services pattern, cloud technologies and managed services preferably AWS, Big Data and Analytics, Relational databases preferably Postgresql, NoSql databases. Role: Engineering Manager Industry Type: Banking Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Software Engineering JavaCSSNoSQL databasesAPI developmentPostgreSQLHTMLSpring bootReact

Job description About the Role: Grade Level (for internal use): 11 TheRole: Lead Software Engineering The Team: Our team is responsible for the architecture, design, development, and maintenance of technology solutions to support the Sustainability business unit within Market Intelligence and other divisions. Our program is built on a foundation of inclusivity, enablement, and adaptability and respect which fosters an environment of open-communication and trust. We take pride in each team members accountability and responsibility to move us forward in our strategic initiatives. Our work is collaborative, we work transparently with others within our business unit and others across the entire organization. The Impact: As a Lead, Cloud Engineering at S&P Global, you will be instrumental in streamlining the software development and deployment of our applications to meet the needs of our business. Your work ensures seamless integration and continuous delivery, enhancing the platform's operational capabilities to support our business units. You will collaborate with software engineers and data architects to automate processes, improve system reliability, and implement monitoring solutions. Your contributions will be vital in maintaining high availability security and performance standards, ultimately leading to the delivery of impactful, data-driven solutions. Whats in it for you: Career Development: Build a meaningful career with a leading global company at the forefront of technology. Dynamic Work Environment: Work in an environment that is dynamic and forward-thinking, directly contributing to innovative solutions. Skill Enhancement: Enhance your software development skills on an enterprise-level platform. Versatile Experience: Gain full-stack experience and exposure to cloud technologies. Leadership Opportunities: Mentor peers and influence the products future as part of a skilled team. Key Responsibilities: Design and develop scalable cloud applications using various cloud services. Collaborate with cross-functional teams to define, design, and deliver new features. Implement cloud security best practices and ensure compliance with industry standards. Monitor and optimize application performance and reliability in the cloud environment. Troubleshoot and resolve issues related to our applications and services. Stay updated with the latest cloud technologies and trends. Manage our cloud instances and their lifecycle, to guarantee a high degree of reliability, security, scalability, and confidence at any given time. Design and implement CI/CD pipelines to automate software delivery and infrastructure changes. Collaborate with development and operations teams to improve collaboration and productivity. Manage and optimize cloud infrastructure and services. Implement configuration management tools and practices. Ensure security best practices are followed in the deployment process. What Were Looking For: Bachelor's degree in Computer Science or a related field. Minimum of 10+ years of experience in a cloud engineering or related role. Proven experience in cloud development and deployment. Proven experience in agile and project management. Expertise with cloud services (AWS, Azure, Google Cloud). Experience in EMR, EKS, Glue, Terraform, Cloud security, Proficiency in programming languages such as Python, Java, Scala, Spark Strong Implementation experience in AWS services (e.g. EC2, ECS, ELB, RDS, EFS, EBS, VPC, IAM, CloudFront, CloudWatch, Lambda, S3. Proficiency in scripting languages such as Bash, Python, or PowerShell. Experience with CI/CD tools like Azure CI/CD. Experience in SQL and MS SQL Server. Knowledge of containerization technologies like Docker, Kubernetes. Nice to have - Knowledge of GitHub Actions, Redshift and machine learning frameworks Excellent problem-solving and communication skills. Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines. Demonstrate strong communication and documentation skills for both technical and non-t

Job description The Role: The Knowledge Engineering team are seeking a Lead Knowledge Engineer to support our strategic transformation from a traditional data organization into a next generation interconnected data intelligence organization. The Team: The Knowledge Engineering team within data strategy and governance helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies. The Impact: Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets. Whats in it for you: The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. Its a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self. Responsibilities: Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery Design and prototype data software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met Influence the strategic semantic vision, roadmap, and next-generation architecture Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools Qualifications: Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred 3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management) Role: Technical Lead Industry Type: Banking Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Knowledge Engineering SPARQLJavaAzureOWLRDFSAWSGoogle CloudPython

Job description Lead Software Engineer Location: India Ref: REF2047U Job Function: Information Technology Company Description Every minute of every day, Smiths Detection s threat detection and security screening technology helps to protect people and infrastructure, making the world a safer place. Smiths Detection, part of Smiths Group is a global leader in the development, manufacture and management of security and detection solutions designed to make the world a safer place. Our technology provides threat detection and screening solutions for customers in our key markets: aviation, ports and borders, defence, and urban security. Our expertise spans 21 global offices, seven manufacturing sites and five R&D centres, with a global network of 3,000 dedicated colleagues contributing towards over 40 years at the frontline of advances in safety and security. This results in careers built on variety and the opportunity to work on a range of state-of-the-art solutions, where you can develop your knowledge and experience every day. Job Description Duties: Designing and Architecting modules through requirements interpretation, Designing and implementing Java/J2EE based web applications. with good understanding of REST APIs. Translate architectural concepts into user flows, wireframes, mockups and prototypes that lead to intuitive user experiences and applications. Hands on experience with UIx design and development using Angular Creating and maintaining tools to validate, unit tests, integration tests and documentation for these components using configuration management and integration/build automation tools during application development and testing phase Performing code reviews and providing suggestions for fixes and improvements. Collaborating with senior engineers / architects across sites across sites to enable technical progress for Bangalore engineers. Knowledge of cyber security will be added advantage Qualifications Skills and Experience: Minimum of 8- 12 years in the software industry-Mandatory Proficiency in Java/J2EE from an enterprise applications perspective. Proficiency in UI design and Angular is must from an enterprise applications perspective. Linux - CentOS/RockyLinux knowledge is desirable. Python hands on programming is desirable Experience in Swing, Spring, JSF/Primefaces and Motif Good experience of Test-Driven Development. Knowledge of Agile Methodologies and Pair Programming Knowledge of Coding Standards, version management (Git/Bit bucket or similar), Build Process, Packaging, DevOps and CI/CD. Preferably worked with Systems/Software Good designing skills is a must Efficient trouble shooting skills Agile methodologies is added advantage Mentor and technically groom the team for upcoming challenges A self-starter with the ability to manage your time effectively, keen attention to detail and use your own initiative Effective communication skills at all levels of the organization and collaborative abilities. Excellent communication skills particularly in English (fluently spoken and written) in addition to any local language spoken at the place of work. The ability and motivation to persistently pursue and achieve / drive effective results which drive the business forward. Collaboration and Influencing with a Global mindset, cultural awareness. Proven matrix and stakeholder management skills/experience working virtually in diverse teams. The ability to make effective, timely decisions in a complex, global market by sourcing and analysing critical information. The understanding and recognition of the organisation s commercial environment and positioning themselves, their role and their actions in order to support the organisation s commercial success. The ability to engage, challenge and work effectively with others. The ability to build an effective network of relationships both internally and externally, understanding their customers needs. Willing and able to identify and support change and continuous improvement in own and wider business environment. Ability to interact with cross functional teams in a m

Job description Summary : Engineering is at the heart of everything we do at Tinvio, translating ideas into products that touch the lives of our customers. As a Senior Software Engineer, you will build a UX optimized, pixel-perfect, B2B native Android application that is delightful to use. You will ensure timely delivery of new features and improve user experience through a rigorous search for perfection. Being a seasoned Android engineer, you will provide technical insights and feasibility feedbacks. You will work alongside a team of passionate product managers and engineers directly contributing to our customers and the organization's growth. Responsibilities : - Design, build and maintain a high-performance, high-availability, and fraud-tolerant technology app platform for B2B transactions with minimal guidance - Create pixel-perfect and trustworthy Android experiences that will be functional, reliable, and delightfully easy to use for thousands of users across the region - Design unit-test code for robustness, including edge cases, usability, and general reliability - Effectively communicate your technical solutions and product ideas within the engineering teams, and the broader product organization - Monitor, debug and fix issues in production at a high velocity based on user impact Requirement : - Bachelor's degree in computer science, information technology, or a similar field - 5+ years of experience in developing highly scalable, performant applications - Sound understanding of Kotlin as a programming language - Working experience with Backend Restful APIs and Firebase APIs - Preferably working experience in start up before Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad Role: Mobile / App Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Android RESTful APIJavaMobile App DesigningFirebase APIsMobile App IntegrationKotlin

Job description we're looking for a Senior AI Engineer to join our AI team, where you'll design and develop highly scalable, robust systems that drive our AI initiatives and data operations. Success in this role depends on strong software engineering skills, familiarity with large-scale distributed systems, and expertise in AI technologies. Our ideal candidate has a proven ability to build reliable platforms (rather than standalone applications) and to iterate effectively over multiple release cycles. While AI experience isn a required, you should also be enthusiastic about software engineering, and building scalable platforms and cloud services. A significant aspect of the job involves collaborating with cross-functional teams to translate complex requirements into scalable, efficient code, with responsibilities including the implementation and maintenance of software infrastructure for our AI platform. you'll regularly work alongside AI specialists, domain leads, and other engineering teams. Throughout your work, you'll apply best practices in software engineering and system architecture. If you're passionate about delivering high-impact AI solutions in a dynamic environment, this is an exciting opportunity to have a substantial influence on our AI capabilities through your expertise. Your Key Responsibilities Design and implement scalable distributed systems Architect solutions that can handle large volumes of data for real-time and batch processing Design and develop efficient AI pipelines with automation and reliability across the platform Integrate agentic workflows and AI agents into data extraction processes, and enable systems to perform multi-step reasoning and tool usage to improve accuracy and efficiency of data extraction. Deploy, monitor, and maintain the LLM-based extraction systems in production, ensuring reliability and scalability. Set up appropriate monitoring, logging, and evaluation metrics to track performance, and perform continual tuning and improvements based on human in the loop feedback. Conduct applied research and experimentation with the latest generative AI models and techniques to enhance extraction capabilities. Prototype new approaches and iterate quickly to integrate successful methods into the production pipeline. Collaborate with cross-functional teams (data engineers, product managers, domain experts) to gather requirements, align AI solutions with business needs. Your skills and experience that will help you excel 4-5 years of experience in applied AI or machine learning engineering, with a track record of building and deploying AI solutions (especially in NLP). Hands-on experience with using Generative AI models and APIs/frameworks (eg, OpenAI GPT-4, Google Gemini). Ability to build Agentic AI systems where LLMs interact with tools or perform multi-step workflows. Proficiency in Python (preferred) and experience deploying machine learning models or pipelines at scale. Good understanding of embeddings, LLM models and experience with retrieval-augmented generation (RAG) workflows to incorporate external knowledge into LLM-based systems. Knowledge of LLMOps and cloud services (Azure, GCP, or similar) for deploying and managing AI solutions. Experience with containerization, orchestration, and monitoring of ML models in a production cloud environment. Excellent collaboration and communication skills, with the ability to work effectively in a team, translate complex technical concepts to non-technical stakeholders, and document work clearly. About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall we'llbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation progr

Job description The Platform Engineering team is responsible for developing platforms and tools to enable DevOps and Quality Engineering at MSCI. As part of the Quality Center of Excellence, we'develop productivity related tools, services and platforms such as the MSCI software catalog and Internal Developer Platform, in addition to managing and maintaining third-party developer workflow tools. The Platform Engineering team also leads the development of the Quality Management System, which gathers and synthesizes metrics from internal and external systems to comprehensively measure and enhance Quality at MSCI. As a backend software engineer, your responsibility will be to design, develop, test, maintain, and support resilient, production-grade enterprise services, platforms, and tools. Your Key Responsibilities Manage all aspects of the Developer Workflow (SDLC) from requirements through design, development, testing, deployment, and production support. Design and integrate REST and GraphQL APIs for seamless data flow. Develop and maintain codebases using Java Spring. Utilize Git for source code management. Implement DevOps best practices and CI/CD processes. Actively participate in Agile/Scrum teams and contribute to bi-weekly sprints. Role: Software Development - Other Industry Type: Financial Services Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills BackendGITProduction supportdevelopment testingAgile scrumQMSdevopsDesign developmentSDLC

Job description Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you ll do more than join something you ll add something.The Information Intelligence team is at the forefront of revolutionizing how billions of people interact with their devices to search and find what they are looking for. As a Senior Machine Learning Engineer, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting-edge search technologies and large language models. Description Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills.You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide the best results and accurate answers to satisfy users information-seeking needs. 10+ years experience in shipping Search and Q&A technologies and ML systems Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy Strong written and verbal communication with the ability to articulate complex topics Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others Passion for building phenomenal products and curiosity to learn Preferred Qualifications Background in Search Relevance and Ranking, Question Answering systems, Query Understanding, Personalization or Recommendation systems, or data-informed decision-making Hands-on experience in Retrieval Augmented Generation (RAG), including developing, evaluating and enhancing for both retrievers and generative LLMs Experience presenting plans, progress, and results or demos regularly and concisely MS or Ph.D in AI, Machine Learning, Information Retrieval, Computer Science, Statistics, or a related field Role: Database Architect / Designer Industry Type: Consumer Electronics & Appliances Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceQAC++Interpersonal skillsMachine learningSCALAqueryInformation retrievalNatural language processingPython

Job description Job Overview: We are seeking an experienced and highly skilled Senior Data Engineer to join our team. This role requires a combination of software development and data engineering expertise. The ideal candidate will have advanced knowledge of Python and SQL, a solid understanding of API creation (specifically REST APIs and FastAPI), and experience in building reusable and configurable frameworks. Key Responsibilities: Develop APIs & Microservices: Design, build, and maintain scalable, high-performance REST APIs using FastAPI and other frameworks. Data Engineering: Work on data pipelines, ETL processes, and data processing for robust data solutions. System Architecture: Collaborate on the design and implementation of configurable and reusable frameworks to streamline processes. Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and DevOps teams to build end-to-end solutions that cater to both application and data needs. Slack App Development: Design and implement Slack integrations and custom apps as required for team productivity and automation. Code Quality: Ensure high-quality coding standards through rigorous testing, code reviews, and writing maintainable code. SQL Expertise: Write efficient and optimized SQL queries for data storage, retrieval, and analysis. Microservices Architecture: Build and manage microservices that are modular, scalable, and decoupled. Required Skills & Experience: Programming Languages: Expert in Python, with solid experience building APIs and microservices. Web Frameworks & APIs: Strong hands-on experience with FastAPI and Flask (optional), designing RESTful APIs. Data Engineering Expertise: Strong knowledge of SQL, relational databases, and ETL processes. Experience with cloud-based data solutions is a plus. API & Microservices Architecture: Proven ability to design, develop, and deploy APIs and microservices architectures. Slack App Development: Experience with integrating Slack apps or creating custom Slack workflows. Reusable Framework Development: Ability to design modular and configurable frameworks that can be reused across various teams and systems. Excellent Problem-Solving Skills: Ability to break down complex problems and deliver practical solutions. Software Development Experience: Strong software engineering fundamentals, including version control, debugging, and deployment best practices. Why Join Us Growth Opportunities: You ll work with cutting-edge technologies and continuously improve your technical skills. Collaborative Culture: A dynamic and inclusive team where your ideas and contributions are valued. Competitive Compensation: We offer a competitive salary, comprehensive benefits, and a flexible work environment. Innovative Projects: Be a part of projects that have a real-world impact and help shape the future of data and software development. If you're passionate about working on both data and software engineering, and enjoy building scalable and efficient systems, apply today and help us innovate! Role: Database Administrator Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythonsoftware developmentdata engineeringsqlflask restsql developmentsql queriesversion controlrelational databasesmicroservicesdevopssystem architectureslackdebuggingsoftware engineeringcode reviewapietletl process