2,060 good data lab jobs in India.

... day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions ...

... an added advantage Good to Have Experience in BFSI or analytics-heavy domains Exposure to MLOps tools and CI/CD for data pipelines Knowledge of NoSQL/vector databases (Pinecone, FAISS, Chroma) What We Offer Opportunity to work on cutting-edge AI/data infrastructure projects Collaborative, fast-paced environment Competitive ...

... scrum/agile development processes Provide technical expertise to support strategic decision-making Data Architecture & Design Apply data modeling principles and data warehousing concepts Design database schemas and data integration patterns Work with cloud services (Azure/AWS/GCP) for scalable data solutions Optimize data ...

... Varicent architecture, compensation plan design, integrations, data modeling, and end-to-end solution delivery. Key Responsibilities - Design and architect scalable Varicent ICM/SPM solutions. - Translate business compensation requirements into technical designs. - Define data models, calculation logic, hierarchies, workflows, ...

... scalable data pipeline architectures to build data products, independently. Collaborates in an agile development environment to develop, maintain, and debug data solutions that are scalable, efficient, and reliable. Key Responsibilities Data Processing & Pipelining - Data Requirements, Collection, and Infrastructure: Analyzes ...

... failures, and errors Analyze existing systems and data pipes to identify areas for improvement or opportunities to enhance Continue to help evolve and improve the data quality processes and templates Profile data sources to understand existing quality issues in the ETL processes Collaborate on data modeling tasks including recommending ...

Role Summary: We are seeking a highly skilled Data Engineer specializing in AWS and Databricks. The ideal candidate will design, build, and maintain scalable data pipelines, ensuring efficient data ingestion, processing, and integration from multiple sources—including Google Analytics event data. This role requires deep ...

... technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. Mentors team ...

... stored procedures. Ensure data integrity, quality, and availability across systems. Integrate data between systems using Python (e.g., REST APIs, flat files, database connectors). Support deployment, monitoring, and maintenance of applications in production. Collaborate with data engineers, analysts, and application developers ...

... distributed systems, cloud architectures, and scalability patterns • Expert-level experience with observability stacks (Prometheus, Grafana, ELK, Jaeger) • Mastery of data orchestration platforms like Airflow, Prefect, or Dagster • Demonstrated success modernizing legacy data systems while ensuring zero business disruption Experience ...

... of data. Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats . Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical ...

... there's a good chance you will love being a part of our Data Engineer team at Kyndryl, where you will be able to see the immediate value of your work. As an Data Engineer at Kyndryl, you'll be the architect behind the high-performance data infrastructure that powers our autonomous systems. We aren't just moving tables ...

... - Drive thought leadership, partner engagement and reusable assets. - Act as Enterprise Architect on strategic billable programmes. Core Skills - Enterprise Data Architecture - Consulting - Executive communication - Commercial solutioning - Architecture governance Success Measures - 50% billable utilisation - Contribution ...

... implementation of privacy program components, including drafting and refining policies, procedures, and templates; assist in DPDPA implementation efforts - Collaborate with business and product teams to assess and understand the organization’s use of personal data; serve as the key privacy advisor and point of contact for ...

... of the data engineering team and working on in-house products in for Data Foundation Collaborating closely with Data Engineering Leads and managers and other DataOps teams. This role involves hands-on development work and will directly report to Data Engineering Lead. Must have skills: Azure Databricks, Unity Catalog, Delta ...

... design solutions leveraging GCP services. Data Pipeline Design & Development: Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions: Architect, implement, and optimize BigQuery based data lakes and warehouses. Real Time Data Processing: ...

... data products. - Partner with cross functional teams across Devices organization to ingest relevant datasets into the Alexa Smart Home BI data-warehouse. - Collaborate with other peer data engineers to build self-service data platforms that possess key capabilities like data discovery, data lineage, proactive data monitoring ...

... stewardship, data architecture, and data integration . The Data Program Manager will be responsible for orchestrating a high visibility program that enables stronger data foundations, clearer ownership and accountability, improved quality and trust in critical data, and scalable data capabilities that support business transformation. ...

... to process large-scale datasets. Monitor, troubleshoot, and resolve data pipeline failures to ensure data availability and reliability within defined SLAs. Collaborate with Business Intelligence Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions. ...

... and maintaining scalable data engineering solutions on Google Cloud Platform (GCP) . The ideal candidate should have strong hands-on expertise in Python, SQL, data pipelines, and GCP data services . Design and develop scalable and reliable data pipelines using GCP services. Develop data processing and transformation solutions ...