Job description Job Description As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel Role: Data Engineer Industry Type: Advertising & Marketing Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceData analysisData modelingAnalyticalAgiledata governanceData qualityData miningSQLPython

Job description A Data Engineer specializing in enterprise data platforms, experienced in building, managing, and optimizing data pipelines for large-scale environments. Having expertise in big data technologies, distributed computing, data ingestion, and transformation frameworks. Proficient in Apache Spark, PySpark, Kafka, and Iceberg tables, and understand how to design and implement scalable, high-performance data processing solutions.What you’ll doAs a Data Engineer – Data Platform Services, responsibilities include: Data Ingestion & Processing Designing and developing data pipelines to migrate workloads from IIAS to Cloudera Data Lake. Implementing streaming and batch data ingestion frameworks using Kafka, Apache Spark (PySpark). Working with IBM CDC and Universal Data Mover to manage data replication and movement. Big Data & Data Lakehouse Management Implementing Apache Iceberg tables for efficient data storage and retrieval. Managing distributed data processing with Cloudera Data Platform (CDP). Ensuring data lineage, cataloging, and governance for compliance with Bank/regulatory policies. Optimization & Performance Tuning Optimizing Spark and PySpark jobs for performance and scalability. Implementing data partitioning, indexing, and caching to enhance query performance. Monitoring and troubleshooting pipeline failures and performance bottlenecks. Security & Compliance Ensuring secure data access, encryption, and masking using Thales CipherTrust. Implementing role-based access controls (RBAC) and data governance policies. Supporting metadata management and data quality initiatives. Collaboration & Automation Working closely with Data Scientists, Analysts, and DevOps teams to integrate data solutions. Automating data workflows using Airflow and implementing CI/CD pipelines with GitLab and Sonatype Nexus. Supporting Denodo-based data virtualization for seamless data access Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in big data engineering, data integration, and distributed computing. Strong skills in Apache Spark, PySpark, Kafka, SQL, and Cloudera Data Platform (CDP). Proficiency in Python or Scala for data processing. Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM). Understanding of data security, encryption, and compliance frameworks Preferred technical and professional experience Experience in banking or financial services data platforms. Exposure to Denodo for data virtualization and DGraph for graph-based insights. Familiarity with cloud data platforms (AWS, Azure, GCP). Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics Role: Data Platform 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 Skills highlighted with ‘‘ are preferred keyskills pythonscalapysparksqlspark clouderacontinuous integrationdata analyticsdata processingairflowbig data technologiesci/cdmicrosoft azuredata engineeringdistributed computinggcpkafkadata ingestiongitlabbig dataawsdata integration

Job description Our Purpose Title and Summary Consultant, Performance Analytics, Advisors & Consulting Services Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Roles and Responsibilities Client Impact Provide creative input on projects across a range of industries and problem statements Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value Collaborate with Mastercard team to understand clients needs, agenda, and risks Develop working relationship with client analysts/managers, and act as trusted and reliable partner Team Collaboration & Culture Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings Lead internal and client meetings, and contribute to project management Contribute to the firms intellectual capital Receive mentorship from performance analytics leaders for professional growth and development Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings Proficiency using data analytics software (e.g., Python, R, SQL, SAS) Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Experience managing tasks or workstreams in a collaborative team environment Ability to identify problems, brainstorm and analyze answers, and implement the best solutions Relevant industry expertise Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the

Job description Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our team combines traditional management consulting with Mastercard s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Roles and Responsibilities Client Impact Provide creative input on projects across a range of industries and problem statements Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value Collaborate with Mastercard team to understand clients needs, agenda, and risks Develop working relationship with client analysts/managers, and act as trusted and reliable partner Team Collaboration & Culture Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings Lead internal and client meetings, and contribute to project management Contribute to the firms intellectual capital Receive mentorship from performance analytics leaders for professional growth and development Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings Proficiency using data analytics software (eg, Python, R, SQL, SAS) Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as we'll as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (eg, Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Experience managing tasks or workstreams in a collaborative team environment Ability to identify problems, brainstorm and analyze answers, and implement the best solutions Relevant industry expertise Corporate Security Responsibility Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. Role: Analytics Consultant Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills SASCodingEnterprise applica

Job description As a Senior Technical Specialist, you will design and develop UIs for Network Management applications in Optical Transport, WDM, and SDH/SONET networks. With 8-12 years of experience, you'll use ReactJS, JavaScript, HTML, CSS, and Angular to build high-performing UIs. Experience with Core Java, Spring, Kafka, Python, and databases is a plus. You will work in an agile, distributed environment, enhancing functionality, user experience, and customer satisfaction. You have: Bachelor's degree or equivalent with 8 to 12 years of experience in user interface design and development. Expertise in UI development technologies such as ReactJS, JavaScript, HTML, CSS, Angular, and JQuery. Working experience with CORE JAVA, Spring, Kafka, Zookeeper, Hibernate, and Python is desirable. Good understanding of continuous integration and agile practices. It would be nice if you also had: Working knowledge of RDBMS, PL-SQL, Linux, Docker, and database concepts. Domain knowledge in OTN, Photonic network management. Hands-on experience in development activities like requirement analysis, design, coding, and unit testing. Solid and well-balanced individual, able to manage high-paced development activities with self-organizing capabilities. Develop software for Network Management of Optics Division products, including Photonic/WDM, Optical Transport, and SDH/SONET. Provide users with control over network configuration through Optics Network Management applications. Interface Optics Network Management applications with various Network Elements. Deploy Optics Network Management applications globally for installations. Contribute to new developments and maintain applications as part of the development team. Enhance functionality and customer satisfaction through ongoing application improvements. Role: Head - Engineering 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 Skills highlighted with ‘‘ are preferred keyskills ui developmentreact.jsjavauser interface designingjavascript continuous integrationcssunit testingsonetdbmshibernatejqueryapache zookeepersqldockerplsqlspringapachelinuxhtmlpythonrdbmsangularsdhkafkaagile

Job description Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers. As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity Tech Controls team , you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains. Job responsibilities Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e. g. , product, platform, application owners) Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Applies specialized tools (e. g. , vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize the probability and impact of threats when determining specific vulnerabilities Leads delivery of continuity-related awareness, training, educational activities, and exercises Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on security engineering concepts and 5+ years applied experience Experience in developing security engineering solutions, including the design and implementation of cloud security solutions on AWS Proficiency in software engineering with code development using Python and Terraform/Cloud Formation Infra as Code concepts. Experience in development, management, configuration, testing, and integration tasks related to Cloud Network Security platforms. Proficient in Public/Private Cloud Cybersecurity for mission-critical settings, encompassing complex data analysis, enhancement of technical documentation. Expertise in Cybersecurity organization practices, operations, risk management processes, principles, architectural requirements, engineering, and threats and vulnerabilities. Preferred qualifications, capabilities, and skills Familiar of core concepts for Public/Private/Hybrid Clouds (Networking, Policy placement, IAM, Network/Application Firewall) Familiarity with modern front-end technologies Role: System Security Engineer Industry Type: Financial Services Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT Security Education UG: Any Graduate PG: Any Postgraduate Key Skills Data analysisFront endArchitectureAgileNetwork securityVulnerabilityTroubleshootingPythonFirewallTechnical documentation

Job description Job Description: Senior DBT Engineer Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Responsibilities: - Experience Level - 4 -12 years. - Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting. - Design, develop, and maintain ETL/ELT pipelines using DBT and pulling data from Snowflake. - Define and implement data modelling best practices, including data warehousing, ETL processes, and data transformations using DBT. - Build complex SQL queries within DBT to build incremental models, enhancing data processing efficiency. - Establish data governance practices and ensure data accuracy, quality, and consistency within the data transformation process. - Collaborate with data engineers, data analysts, and other stakeholders to understand and meet data requirements for various business units. - Identify and address performance bottlenecks in data transformation processes and optimize DBT models for faster query performance. - Maintain thorough documentation of DBT models, transformations, and data dictionaries to ensure transparency and accessibility to team members. - Implement data security measures to protect sensitive information and comply with data privacy regulations. - Stay updated on industry best practices and new features in DBT, and continuously improve the data transformation processes. - Provide training and support to other team members in using DBT effectively. - Implement data quality checks and validation processes to ensure data accuracy and consistency. - Hands-on experience in implementing data governance, data quality rules and validation mechanisms within Collibra is added plus. - Knowledge of workflow orchestration tools like Tidal. - Experience with Python or other scripting languages is a plus. - Familiarity with Azure cloud platforms. - Exposure to DevOps practices and CI/CD pipelines for data engineering. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here . Role: Search 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 SQL queriesdata securitySocial mediadata governanceData processingWorkflowData qualitydata privacyAnalyticsPython

Job description Adobe DMe B2B analytics team is looking for a Senior Analytics Engineer to build the foundational data assets and analytical reports for the B2B customer journey analytics. The data assets and reports will provide quantitative and qualitative analysis for acquisition, engagement and retention. In addition, the candidate will contribute on multi-functional projects to help business achieve its potential in terms of revenue, customer success, and operational excellence. What you'll Do Analyze complex business needs, profile diverse datasets, and optimize scalable data products on various data platforms, like Databricks, prioritizing data quality, performance, and efficiency. Build and maintain foundational datasets and reporting solutions that power dashboards, self-service tools, and ad hoc analytics across the organization. Partner closely with Business Intelligence, Product Management, and Business Stakeholders to understand data needs. Guide and assist junior analytics engineers and analysts through code reviews, advocating standard methodologies, and encouraging a culture of code simplicity, clarity, and technical excellence. What you need to succeed Strong analytical approach with critical thinking and problem-solving skills. Ability to quickly understand Adobe products, business processes, existing data structures, and legacy code. Minimum of 8 years of experience in data analytics, data engineering, or a related field. Solid expertise in data warehousing, data modeling, and crafting scalable data solutions. Proficiency in SQL and/or Python for building, optimizing, and fixing data pipelines. Experience using AI tools (eg, GitHub Copilot, Claude) to speed up and improve development workflows. Excellent communication skills needed to effectively work with business collaborators, engineers, and analysts Role: Business Intelligence & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Product managementgithubData modelingAnalyticalData structuresData qualityBusiness intelligenceAdobeSQLPython

Job description Responsibilities: Develop and execute a data strategy to align with product development and business objectives. Foster data-driven decision-making throughout the product lifecycle, from development to marketing. Oversee data collection, analysis, and interpretation to provide actionable insights for product improvement. Ensure timely delivery of accurate reports, dashboards, and visualizations to support product decisions. Integrate new data sources and technologies to innovate and optimize product analytics. Define and track product-specific KPIs and metrics to measure performance and inform strategy. Provide insights and recommendations to support strategic product initiatives and enhancements. Assess the impact of data-driven projects on product success and user experience. Advocate for the value of data analytics in driving product innovation and growth. Communicate complex data concepts to non-technical stakeholders to inform product strategy. Collaborate with cross-functional teams to understand and address product data needs effectively. Share success stories and case studies to illustrate the impact of data-driven product improvements. Stay updated on industry trends and advancements in product analytics and technology. Foster innovation in analytical techniques and methodologies to stay ahead in the competitive landscape. Encourage continuous learning and development within the data team to maintain a high standard of expertise in product analytics. ualifications: Education: Bachelors degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree preferred. Experience: Extensive experience in data analytics or business intelligence, with a proven track record of leadership. Skills: Successful implementation of data strategies and fostering data-driven cultures. Strong expertise in statistical analysis, data modeling, and data visualization. Proficiency with analytics tools (e.g., SL, Python, R, Tableau, Power BI). Excellent leadership, communication, and presentation skills. Ability to translate data insights into actionable business recommendations. Knowledge of ML, data governance, data quality, and data protection practices. Role: Analytics / BI Manager Industry Type: Telecom / ISP Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills PythonMl Data ManagementData AnalysisTableauData Analytics

Job description The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities: Collaborate with business stakeholders to understand and translate their goals into data science initiatives. Lead the development and implementation of machine learning models and algorithms to place ads in the context of cutting-edge privacy frameworks efficiently. Develop strategies to optimize budget allocation in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to discover complex data sets' patterns, trends, and insights. Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in data science, machine learning, and relevant technologies. Develop and train ML/DL models for forecasting/classification Build AI agents RAG-based systems Leverage data-driven insights and predictive modeling to build PoCs. Leverage LangChain, LangGraph, or similar for orchestration Use SQL for data analysis, feature engineering, and reporting Required Skills: Qualification in a quantitative field such as Computer Science, Statistics, Physics, or Mathematics. Excellent problem-solving skills. Strong coding skills. 2+ years of relevant work experience in data science and machine learning. Solid background in statistical analysis, hypothesis testing, and experimental design. Proficiency in Python and SQL Preferred GCP Platform Exposure to RAG, LLMs, and agentic workflows - Finetuning Evaluation Familiar with LangChain, LangGraph, or similar toolkits Plus points if you have experience with Apple Ads (formerly ASA) or have worked in the AdTech space. Effective communication skills with the ability to convey technical concepts to non-technical audiences Role: Data Scientist Industry Type: Software Product Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills algorithmspythonmodelinghypothesis testingmathematicsforecastingdlpredictiveproblem solvingmachine learningsqlcodingdata sciencegcppredictive modelingdesignreportingstatisticscommunication skillsml