Job description About This Role At BlackRock, technology has always been at the core of what we do and today, our technologists continue to shape the future of the industry with their innovative work We are not only curious but also collaborative and eager to embrace experimentation as a means to solve complex challenges Here youll find an environment that promotes working across teams, businesses, regions and specialties and a firm committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders around the world, We are seeking a highly skilled and motivated Senior level Data Engineer to join the Private Market Data Engineering team within Aladdin Data at BlackRock for driving our Private Market Data Engineering vision of making private markets more accessible and transparent for clients In this role, you will work multi-functionally with Product, Data Research, Engineering, and Program management, Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates The candidate will have extensive experience in developing data pipelines using Python, Apache Airflow orchestration platform, DBT (Data Build Tool), Great Expectations for data validation, Apache Spark, MongoDB, Elasticsearch, Snowflake and PostgreSQL In this role, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines You will collaborate with various stakeholders to ensure the data pipelines are efficient, reliable, and meet the needs of the business, Key Responsibilities Design, develop, and maintain data pipelines using Aladdin Data Enterprise Data Platform framework, Develop data transformation using DBT (Data Build Tool) with SQL or Python, Develop ETL/ELT data pipelines using Python, SQL and deploy them as containerized apps on a Kubernetes cluster, Ensure data quality and integrity through automated testing and validation using tools like Great Expectations, Implement all observability requirements in the data pipeline, Optimize data workflows for performance and scalability, Monitor and troubleshoot data pipeline issues, ensuring timely resolution, Document data engineering processes and best practices whenever required, Develop APIs for data distribution on top of the standard data model of the Enterprise Data Platform, Required Skills And Qualifications Must have 5 to 8 years of experience in data engineering, with a focus on building data pipelines, Strong programming skills in Python, Experience with Apache Airflow or any other orchestration framework for data orchestration, Proficiency in DBT for data transformation and modeling, Experience with data quality validation tools like Great Expectations or any other similar tools, Strong at writing SQL and experience with relational databases like SQL Server, PostgreSQL, Experience with cloud-based data warehouse platform like Snowflake, Experience working on NoSQL databases like Elasticsearch and MongoDB, Experience working with container orchestration platform like Kubernetes on AWS and/or Azure cloud environments, Experience on Cloud platforms like AWS and/or Azure, Experience working with backend microservices and APIs using Java or C#, Ability to work collaboratively in a team environment, Need to possess critical skills of being detail oriented, passion to learn new technologies and good analytical and problem-solving skills, Experience with Financial Services application is a plus, Effective communication skills, both written and verbal, Bachelors or masters degree in computer science, Engineering, or a related field, Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about, Our hybrid w

Job description As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail ; Finance divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Closely partners with the Senior Manager ; Director of Data Science to drive data science adoption in the domain Guides. data scientists, senior data scientists ; staff data scientists across multiple sub-domains to ensure on-time delivery of ML products Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Drive synergies across different products in terms of algorithmic innovation and sharing of best practices. Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives What You Will Bring Masters with > 10 years OR Ph.D. with > 8 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Minimum 6 years of experience as a data science technical lead Ability to lead multiple data science projects end to end. Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation ; Gen-AI In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Ability to scale and deploy data science solutions. Strong Experience with one or more of Python and R. Experience in GCP/Azure Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala) Experience with GPU/CUDA for computational efficiency Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field. Role: Data Scientist Industry Type: Retail Department: Data Science & Analytics Employment Type: Full Time, Perma

Job description You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! You Will Work on latest edge Cloud computing to automate difficult, manual and repeatable tasks for users adopting SaaS and Cloud technologies like AWS, Salesforce, Snowflake, Microsoft Dynamics and more Use the latest trends on building SaaS applications using multi-tenancy, scalability large data volumes / Big Data and more. Very proficient in Java, Spring, Python and web technologies. Develop and expand our portfolio to support most popular Cloud apps (200+) Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use. About Us At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SaaS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SaaS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse, consisting of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System We genuinely care We do not waste time on manual or mundane task We have a fun environment We own it We are experts on what we do We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges: -Best Relationship- Winter 2024 -Leader Americas Winter 2024 -Best Results - Winter 2024 -Best Usability - Winter 2024 About the role : We are looking for a Head of Product Engineering to provide sound technical leadership in all aspects of our business. You will communicate with employees, stakeholders and customers to ensure our company s technologies are used appropriately. He/she will be making executive technology decisions on behalf of the company, including managing a technology budget and making investments to align the company with its vision for its technological needs. You should be a strategic thinker, an effective communicator, and an expert in technological development. You will work directly under the CEO/COO and will act as both a technology and business expert, making decisions that will impact the current and future operations of the company. Role & Responsibilities . Develop a companys strategy around technology and product to ensure alignment with its business goals. Spend 70% of your time developing, architecting and coding in Java, Python and web technologies and the rest managing the product, infrastructure and team. Hire and manage resource and technology risks Experience in designing technical solutions, being hands on with code and technology Ability to manage multiple projects and initiatives Discover and implement new technologies that yield competitive advantage Supervise system infrastructure to ensure functionality and efficiency Build quality assurance, data protection and security processes Use stakeho

Job description Job Title: Data Engineer Job Description We re Concentrix. A new breed of tech company Human-centered. Tech-powered. Intelligence-fueled. We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents. Our game-changers: * Challenge Conventions * Deliver outcomes unimagined * Create experiences that go beyond WOW If this is you, we would love to discuss career opportunities with you. In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today s hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of CX. Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region. We re a remote-first company looking for the absolute best talent in the world. Experience the power of a game-changing career. #LI-Onsite Qualifications Education & Experience Bachelor s degree (preferred) in Computer Science, Engineering, or a related field (or equivalent experience). 4-6 years of hands-on data engineering experience, including designing and maintaining data pipelines in a production environment. Technical Skills Proficiency in Python and SQL with experience using data pipeline orchestration tools (e.g., Dagster, Airflow, etc.). Demonstrable experience with AWS (S3, EC2, Lambda, Glue) and Snowflake. Familiarity with dbt for data transformations and modeling. Understanding of ETL/ELT best practices and data warehousing concepts. Experience using source control systems and CI/CD pipelines. Soft Skills & Leadership Effective communication skills, with the ability to translate technical concepts for non-technical stakeholders. Experience mentoring junior engineers or contributing to team knowledge sharing. Strong problem-solving and analytical thinking skills. Location: IND Hyderabad Hitech Work-at-Home Language Requirements: Time Type: Full time Role: Data Engineer 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 Key Skills Computer scienceorchestrationIT securityAnalyticalApplication developmentInformation technologySoftware solutionsData warehousingSQLPython

Job description Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)s Supply Analytics is responsible for building competitive differentiated solutions that enhance brewery efficiency through data-driven insights We optimize processes, reduce waste, and improve productivity by leveraging advanced analytics and AI-driven solutions, As a Data Scientist you will work at the intersection of Conceptualize the analytical solution for the business problem by implementing statistical models and programming techniques, Application of machine learning solutions, Best in class cloud technology & micro-services architecture, Use DevOps best practices that include model serving, data & code versioning, Key tasks & accountabilities Develop and fine-tune Gen AI models to solve business problems, leveraging LLMs, and other advanced AI techniques, Design, implement, and optimize AI-driven solutions that enhance automation, efficiency, and decision-making, Work with cloud-based architectures to deploy and scale AI models efficiently using best-in-class microservices, Apply DevOps and MLOps best practices for model serving, data and code versioning, and continuous integration/deployment, Collaborate with cross-functional teams (engineering, business, and product teams) to translate business needs into AI-driven solutions, Ensure model interpretability, reliability, and performance, continuously improving accuracy and reducing biases, Develop internal tools and utilities to enhance the productivity of the team and streamline workflows, Maintain best coding practices, including proper documentation, testing, logging, and performance monitoring, Stay up to date with the latest advancements in Gen AI, LLMs, and deep learning to incorporate innovative approaches into projects, Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or master's in computer application, Computer science, or any engineering discipline, Previous Work Experience Minimum 3 years of relevant experience, Technical Skills Required Programming Languages: Proficiency in Python, Mathematics and Statistics: Strong understanding of linear algebra, calculus, probability, and statistics, Machine Learning Algorithms: Knowledge of supervised, unsupervised, and reinforcement learning techniques, Natural Language Processing (NLP): Understanding of techniques such as tokenization, POS tagging, named entity recognition, and machine translation, LLMs: Experience with Langchain, inferring from LLMs and fine tuning LLMs for specific tasks, Prompt Engineering, Data Preprocessing: Skills in data cleaning, normalization, augmentation, and handling imbalanced datasets, Database Management: Experience with SQL and NoSQL databases like MongoDB and Redis, Cloud Platforms: Familiarity with Azure and Google Cloud Platform, DevOps: Knowledge of CI/CD pipelines, Docker, Kubernetes, Other Skills Required APIs: Experience with FastAPI or Flask, Software Development: Understanding of software development lifecycle (SDLC) and Agile methodologies, And above all of th

Job description Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)?s Logistics Analytics team is responsible for transforming the companys Supply Chain by embedding intelligence across key process areas in Inventory Planning, Transportation & Warehousing, Key tasks & accountabilities You will collaborate with product owners from business functions to translate business problem into Data Science use case, You are expected to explore and develop ML/AI algorithms to solve new business problem or improve the existing methodology, model accuracy etc You will work on building code that will deploy into production, using code design and style standards, You will document your thought process and create artefacts on team repo/wiki that can be used to share with business and engineering for sign-off, You will significantly improve the performance and reliability of our code that create high quality and reproducible results, You will collaborate with other team members to advance team?s ability to ship high quality code, fast! You will maintain basic developer hygiene that includes but not limited to, writing tests, using loggers, readme to name a few, Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or Masters in engineering (CS) b-tech/BE/ Masters in data science, statistics, applied mathematics, mathematics, economics, etc Previous Work Experience Minimum 36+ years of relevant experience in Analytics & Data science / building ML models Preferred industry exposure CPG or Supply Chain domain & capability of successfully deploying analytics solutions and products for internal or external clients Skills Required Hands-on experience in data manipulation using Excel, Python, SQL Expert level proficiency in Python (knowledge of object-oriented design concepts & able to write end-to-end ML or data pipelines in python) Proficient in application of one or more and has exposure to others ML concepts (like regression, classification, clustering, time series forecasting) and optimization techniques(Linear & Non Linear optimization) to solve end-to-end business problem Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers Role: Data Scientist Industry Type: Beverage Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills exceltime series analysisdata sciencesupply chaincpgmlsql

Job description Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. Global Information Security (GIS) is responsible for protecting bank information systems, confidential and proprietary data, and customer information. GIS develops the bank s Information Security strategy and policy, manages the Information Security program, identifies and addresses vulnerabilities and operates global security operations center that monitor, detects and responds to cybersecurity incidents. Within GIS, the Cloud Security organization is responsible for leading a team of deeply technical cyber security engineers and architects to design and implement best in class cyber security capabilities for internal and external cloud instances in partnership with infrastructure and application technology teams. In addition, lead efforts across other Global Information Security functions to enable cyber security technology and operations in cloud environments. read more Key Skills AutomationLinuxTesting toolsXMLJavascriptPHPHTMLPerlAndroidPython

Job description We are looking for a Senior Technical Manager to lead our integration development team and define the architecture of our future-state integration products using AWS technologies. This is a strategic and technical leadership role focused on scaling enterprise integrations across ERP and P2P systems. Key Responsibilities: Leadership & Team Management Lead and mentor the current integration team, fostering a culture of technical excellence. Define coding standards, promote development best practices, and manage technical deliverables. Collaborate with cross-functional teams, project managers, and clients. Architecture & Technical Strategy Design scalable, secure, and modular integration frameworks using AWS. Define integration roadmaps and platform vision aligned with business objectives. Ensure high availability, fault tolerance, and observability in all integration designs. Integration Development & Delivery Architect and implement integration solutions across ERP and P2P platforms such as Coupa, Intacct, and NetSuite . Leverage technologies such as REST APIs, OData, Web Services , and others for connectivity. Own data transformation, orchestration, and performance optimization. Required Qualifications: 15+ years of experience designing and delivering enterprise integration solutions. Expertise with AWS technologies : Lambda, S3, Glue, Redshift, Python . Strong experience integrating ERP and procurement systems using APIs and modern protocols. Excellent knowledge of scalable integration frameworks and data pipelines. Strong communication and client management skills. Preferred Qualifications: Experience working with Talend or similar ETL/integration platforms. Background in sourcing and procurement business processes . Consulting or client-facing delivery experience. Required Qualifications: 15+ years of experience designing and delivering enterprise integration solutions. Expertise with AWS technologies : Lambda, S3, Glue, Redshift, Python . Strong experience integrating ERP and procurement systems using APIs and modern protocols. Excellent knowledge of scalable integration frameworks and data pipelines. Strong communication and client management skills. Preferred Qualifications: Experience working with Talend or similar ETL/integration platforms. Background in sourcing and procurement business processes . Consulting or client-facing delivery experience. Role: Technical Lead Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills ProcurementIT servicesERPTeam managementorchestrationCodingConsultingAWSClient managementPython

Job description Career Category Information Systems Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: We are seeking a seasoned Senior Engineering Manager ( Data Engineer ing) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. As a senior leader in the data organization, you will oversee the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs. Roles & Responsibilities: Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems. Define and implement standard operating procedures for data lifecycle management, ensuring availability, accuracy, completeness, and integrity of critical data assets. Oversee and continuously improve daily operational workflows, including scheduling, monitoring , and troubleshooting data jobs across cloud and on-premise environments. Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements. Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows. Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls. Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis. Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives . Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes. Mentor and develop a high-performing team of data operations analysts and leads. Functional Skills: Must-Have Skills: E xperience managing a team of data engineers in biotech/pharma domain companies . E xperience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems. Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions. E xperience managing data workflows on Databricks in cloud environments such as AWS, Azure, or GCP. Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions. Working knowledge of SQL, Python, PySpark or scripting languages for process monitoring and automation. Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization. Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX). Excellent leadership, communication, and stakeholder engagement skills. Well versed with full stack development & DataOps automation, logging & observability frameworks, and pipeline orchestration tools. Strong analytical and problem-solving skills to address complex data challenges. Effective communicati

Job description We are looking for a Senior Devops Engineer to join our R&A Devops team in Banglore, India. This is an amazing opportunity to work on Devops , Data Science and emerging new AI related technologies. The team consists of 6 people and is reporting to the Senior Manager. We have a great skill set in CI/CD, Jenkins, Terraform, Docker/Container, AWS and we would love to speak with you if you have skills in provisioning/managing AWS resources with CI/CD experience using Devops best practices. About You - experience, education, skills, and accomplishments Bachelors degree in computer science or similar read more Key Skills Computer scienceAutomationgithubdata sciencePowershellAgileScrumAnalyticsPythonSystem administration