2,043 good data lab jobs in India.

... you do in this role - Collaborates on designing, building, and maintaining scalable data pipeline architectures to ingest, process, and deliver high-quality data to business stakeholders. - Develops and optimizes batch-processing pipelines, ensuring collected data is structured and formatted for immediate, analytical consumption. ...

... scientific, data-driven system called Decision Mines for Digital Excellence. Job Description Job Summary: We are looking for an experienced lawyer with expertise in data protection laws to ensure compliance with global and regional privacy regulations, including GDPR and the India Digital Data Privacy Bill. Key Responsibilities: ...

... ensure accurate data movement across systems. Data Modeling Design conceptual, logical, and physical data models. Collaborate with engineering teams to define data architecture and schema designs. Ensure scalability, performance, and integrity of data models. Maintain documentation for data models, data dictionaries, and ...

... evolving data needs, fostering collaboration with different teams to support organizational objectives. Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. Monitor and optimize data workflows to enhance performance and reliability. Document data processes and maintain ...

... ability to troubleshoot complex technical issues. - Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, ...

... continuously improve model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business ...

... dashboards for metrics, traces, and logs visualization using OTLP data sources - Implement advanced alerting and notification systems based on observability data patterns - Create standardized dashboard templates and observability best practices for enterprise adoption - Collaborate with infrastructure teams to optimize ...

... requirements. - A strong understanding of data quality, metadata management and data lineage across governance frameworks and data platforms. - The ability to collaborate across functions, explain complex topics clearly and build alignment with senior stakeholders. - Experience governing enterprise-scale data products and ...

... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...

... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...

... business stakeholders to: - Define and maintain enterprise data models and domain boundaries using traditional and AI-enabled methods - Design and govern reusable data assets and data products - Establish standards and patterns for robust, scalable data pipelines - Ensure data is discoverable, trustworthy, and fit-for-purpose ...

... regarding information needs- Assistance with some aspects of Cognos Administration- Collaborate with business users and members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources ...

... candidate will have hands-on experience working with Databricks and Python , a deep understanding of demand planning use cases, and the ability to deliver scalable, production-ready forecasting solutions. This role requires a sharp analytical mindset, fast learning ability, and strong collaboration skills. Technical Skills ...

... secure data flows, storage patterns, logging, and access controls. Innovative - Applies forward-looking data protection strategies to address evolving cloud, collaboration, and SaaS risks, ensuring controls adapt to modern work patterns and distributed environments. - Leverages AI and automation to enhance data classification ...

... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...

... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs

... https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities:- Design, develop, and maintain data pipelines.- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.- Optimize data workflows for performance and scalability within the Azure environment.- Ensure data quality, ...

Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...

... standards, and mentoring team members. Data Engineer collaborates with teams to ensure delivery and contributes to technical design and process improvements. Data Engineer is a team player who sees problems as challenges to be creatively solved in collaboration with other data engineers, data scientists, and business colleagues. ...

... global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning within Supply Chain . (prior experience collaborating with global ...