309 Data and Analytics Jobs

• Full Time

• 7 - 17 Years

• Database Virtualization
• open-source models (meta llama 2)

ResponsibilitiesDefine the end-to-end database architecture, technology choices and design standards for operational, analytical, metadata, audit, evidence and AI-ready data stores.Design a reusable, report-agnostic canonical data model covering regulatory entities, customers, accounts, transactions, balances, MDRMs, schedules, controls, exceptions, approvals…

• Full Time

• 2 - 5 Years

• AI-Data science
• Generative AI for Data Analytics

ResponsibilitiesDesign, develop, and deploy Generative AI solutions using LLMs.Build AI-powered chatbots, virtual assistants, and RAG-based applications.Develop and optimize prompts, workflows, and AI pipelines.Integrate LLMs with enterprise applications and APIs.Collaborate with business and engineering teams to deliver AI solutions.…

• Full Time

• 2 - 5 Years

• Spark
• SparkSQL

ResponsibilitiesAt least 2+ years of experience and strong knowledge in Scala programming language.Able to write clean, maintainable and efficient Scala code following best practices.Good knowledge on the fundamental Data Structures and their usageAt least 5+ years of experience…

• Full Time

• 7 - 9 Years

• Microsoft Fabric

ResponsibilitiesPrimary Skills:Microsoft Fabric platform administration, data governance, PurviewCapacity/workspace management,Security configuration, integration with Azure services.Responsibilities:Manage and administer the Fabric platform (capacity, workspaces, access);implement governance and security policies;collaborate with architects and leads on platform best practices;assist in capacity planning and…

• Full Time

• 5 - 7 Years

• Spark
• Spark Sreaming

ResponsibilitiesKey Responsibilities:Design, develop, and maintain scalable data processing jobs using Spark for batch and/or near-real-time workloads.Analyze large datasets to identify trends, anomalies, and data quality issues; implement validation and reconciliation checks.Optimize Spark applications for performance by tuning partitions,…

• Full Time

• 2 - 3 Years

• Microsoft Fabric
• MSBI (Power BI)

ResponsibilitiesOptimize Power BI performance using DAX optimization, query reduction, model optimization, aggregations, partitioning, and incremental refresh.Implement Row-Level Security (RLS) and security/access controls.Integrate Power BI with Fabric Warehouse/Lakehouse, SQL Server, Azure Data Lake, and other enterprise data sources.Monitor and…

• Full Time

• 3 - 5 Years

• Informatica - Informatica Power Center
• Support Process - Transition

ResponsibilitiesDesign, build, and maintain highly available, scalable, and resilient cloud infrastructure on AWS.Develop and implement automated deployment, monitoring, and incident management solutions.Build Agentic AI-driven automation workflows using modern AI frameworks and LLM technologies.Develop full-stack applications and automation tools…

• Full Time

• 3 - 5 Years

• Informatica - Informatica Power Center

ResponsibilitiesProvide L2/L3 production support for Informatica PowerCenter ETL applications.Monitor daily batch loads and ensure successful completion of ETL workflows.Analyze, troubleshoot, and resolve production issues related to ETL processes and data loads.Perform root cause analysis (RCA) and implement preventive…

• Full Time

• 9 - 12 Years

• Microstrategy
• MSBI (Power BI)
• Power BI

ResponsibilitiesLead and manage BI development and support teams.Design, develop, and implement enterprise BI and reporting solutions.Gather business requirements and translate them into analytical solutions.Manage end-to-end BI project delivery and resource planning.Develop dashboards, reports, KPIs, and scorecards.Ensure data quality,…

• Full Time

• 9 - 12 Years

• AWS DevOps
• Terraform

ResponsibilitiesDesign, deploy, and maintain scalable and secure AWS cloud infrastructure.Develop and manage Infrastructure as Code (IaC) using Terraform.Build, configure, and maintain CI/CD pipelines for application and infrastructure deployments.Automate provisioning, configuration management, and deployment processes.Manage and optimize cloud environments…

• Full Time

• 9 - 12 Years

• Data Governance
• Data Quality - Foundation

ResponsibilitiesKey ResponsibilitiesDesign, develop, and implement enterprise-wide Data Governance frameworks, policies, standards, and best practices.Lead the implementation and administration of Manta Data Lineage solutions across multiple data platforms and applications.Establish and maintain end-to-end data lineage to provide visibility into…

• Full Time

• 9 - 11 Years

• Databricks

ResponsibilitiesEnsure the timely and high-quality delivery of data engineering projects and initiatives.Recruit, mentor, and manage the performance and career growth of the data engineers.Serve as the primary liaison for the GDDS team, ensuring clear communication and alignment with…

• Full Time

• 9 - 14 Years

• Agent Engineering
• Azure API Gateway
• Model Deployment
• PYTHON - AI-Data Science

ResponsibilitiesSolution EngineeringConvert operational challenges into automation solutions.Build automation workflows using multiple platforms.Develop Agentic AI solutions.Design integrations with enterprise applications.Automation DevelopmentDevelop Python-based automation frameworks.Build Ansible playbooks.Create Power Automate workflows.Develop reusable automation components.Agentic AI DevelopmentBuild AI agents and workflows.Develop tool…

• Full Time

• 2 - 5 Years

• Cognos TM1

ResponsibilitiesDesign, develop, enhance, and maintain EPM applications using IBM Planning Analytics (TM1).Translate business requirements into scalable technical solutions and prepare Technical Design Documents (TDDs).Develop and maintain TM1 models, cubes, dimensions, rules, feeders, Turbo Integrator (TI) processes, and chore…

• Full Time

• 5 - 7 Years

• Artificial Intelligence - BASIC
• Generative AI for Data Analytics
• Machine Learning

ResponsibilitiesKey ResponsibilitiesBuild and maintain AI/ML deployment platforms.Implement CI/CD pipelines for AI applications.Deploy, serve, and monitor machine learning and LLM models.Manage Kubernetes-based AI infrastructure.Establish experiment tracking and model governance processes.Enable observability and monitoring across AI systems.Optimize AI platforms for…

• Full Time

• 8 - 14 Years

• Artificial Intelligence - BASIC
• Databricks Machine Learning

ResponsibilitiesRESPONSIBILITIES:Invent, research, envision, design, solution and deliver AI/ ML applications at scale delivering measurable valueBuild end-to-end AI/ ML solutions: Develop, refine, implement, customize and deploy state-of-the-art Machine Learning algorithms and systems, and AI modelsDesigning, developing, and researching Machine…

• Full Time

• 8 - 16 Years

• Research & Development

ResponsibilitiesConduct industry, market, and technology trend analysis to identify emerging shifts, disruptions, and weak signals across sectors.Perform horizon scanning to monitor advancements in technology, regulatory changes, societal trends, and competitive landscapes.Develop and facilitate scenario planning exercises to evaluate…

• Full Time

• 7 - 9 Years

• Azure Data Factory (ADF)
• Databricks
• Snowflake

ResponsibilitiesBuild and optimize data ingestion and transformation workflows in Snowflake.Develop scalable solutions using PySpark and SQL.Implement data quality checks, monitoring, and performance tuning.Work with structured and unstructured data from multiple sources.Collaborate with business stakeholders, architects, and cross-functional teams…

• Full Time

• 9 - 13 Years

• AWS Cloud WAN

ResponsibilitiesDevelop and maintain scalable data pipelines using AWS Glue, Lambda, and Step Functions.Build and optimize data ingestion frameworks on Amazon S3-based data lakes.Design and implement complex ETL/ELT workflows for structured and unstructured data.Develop reusable components and automation frameworks…

• Full Time

• 12 - 16 Years

• Azure Bastion
• Databricks
• PySpark

ResponsibilitiesDesign, develop, and optimize large-scale data pipelines using Azure Databricks and PySpark.Build and maintain ETL/ELT workflows using Azure Data Factory.Develop scalable data processing frameworks for batch and near real-time data ingestion.Implement data transformation, cleansing, and enrichment processes.Work with…