2,281 big data testing jobs in India.

... composable platform, Aera empowers organizations to optimize and automate all types of decisions, across every business area. We are looking for an Associate Data Scientist who is exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will ...

• Hybrid
• On-site

... enterprise, recognized as a global Microsoft and Databricks https://jobeax.com/link/z5IScpoZA6T2iqD7 bridge enterprise challenges with modern intelligence across Big Data, Cloud Infrastructure, Data Engineering, and Applied Artificial https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist ...

... to leadership- Align practice goals with overall company strategyJob Summary : - 16+ years of experience in Data & Analytics / Data Engineering / Enterprise Data Management- Proven experience in leading large teams and managing P&L- Strong understanding of cloud data platforms (Azure, AWS, GCP) and modern data architectures- ...

... Experience with cloud platforms (AWS / Azure / GCP).- Familiarity with MLOps tooling and practices (e.g., model versioning, CI/CD for ML, monitoring).- Experience with big data technologies (Spark, Databricks, etc.).- Bachelor's / Master's / PhD in Computer Science, Statistics, Mathematics, or a related quantitative https://jobeax.com/link/sEOksQVqU173JbV8 ...

• Remote
• Contract

... efficiently: spatial indexing (R-tree / GiST), optimised spatial joins, partitioning, query-plan diagnosis, and geometry simplification - to control runtime and cost.- Big-data and pipeline fluency: Advanced SQL plus distributed processing for large spatial workloads (Spark or Dask), and building reliable, repeatable data pipelines.- ...

• Remote

... Design, develop, operationalize robust and scalable data pipelines with automated data quality checks to support business needs and demonstrate ownership of live data pipelines. Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance. Proficiency implementing BigQuery ...

• On-site

... Evaluating the effectiveness of the Data security controls in business process, conducting on-site audits, including reviewing documents, observing processes, and testing controls. - Identifying and define Critical Data Elements (CDEs), Business Term, Business Rules, Data Sets, Data Attribute, Classifications, Report Attribute ...

... intersection of business knowledge and data governance, acting as the day-to-day guardian of data quality, metadata, and accountability for a defined set of data https://jobeax.com/link/Tz8QBxhdVa4wtgEC Responsibilities :Metadata & Data Catalog :- Own the collection, quality, and ongoing curation of metadata for data assets ...

• Contract

... approaches to transparency, user choice, data minimization, de-identification, access, retention and deletion, international transfers, training and evaluation datasets, open-data and dataset publication, human oversight, and responsible AI. - Monitor developments in privacy, data protection, AI, and electronic-communications ...

... close tracking gaps and document tracking requirements, and turning raw app data into dashboards, reports, forecasts, and recommendations. This is a hands-on data analyst role for an expert in SQL and Looker Studio who can pull mobile app data directly from source systems, build pipelines that consume app data into our ...

• Hybrid
• Full-time
• Contract

Suggested Full time Contract work Hybrid work Worldwide

... from CSV files and API-based sources- Implement data modeling using Sql DBM- Ensure performance tuning, cost optimization, and security (RBAC, masking)- Manage data governance, quality, and compliance- Support testing processes using ALM/AQM frameworks .Collaborate with BI teams using Tableau Software and Microsoft Power ...

• Remote
• Full-time

SAS Clinical Remote job Full time

• Remote

... specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster ...

• Remote

... & SPOKE teams to independently build trusted data products aligned with the OneData https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution architectures to support trusted data products, self-service ...

Role Summary : The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data https://jobeax.com/link/jOXlfQ8JM0UfgeL3 ...

... https://jobeax.com/link/FfDHiV3kuJ7mhqWK Architecture & Advisory : - Own end-to-end Snowflake architecture for enterprise-scale programs.- Translate business goals into data platform strategies (lakehouse / data warehouse / modern data stack).- Design solutions across data ingestion, transformation, orchestration, modelling, and consumption ...

... https://jobeax.com/link/FfDHiV3kuJ7mhqWK Architecture & Advisory : - Own end-to-end Snowflake architecture for enterprise-scale programs.- Translate business goals into data platform strategies (lakehouse / data warehouse / modern data stack).- Design solutions across data ingestion, transformation, orchestration, modelling, and consumption ...

... https://jobeax.com/link/FfDHiV3kuJ7mhqWK Architecture & Advisory : - Own end-to-end Snowflake architecture for enterprise-scale programs.- Translate business goals into data platform strategies (lakehouse / data warehouse / modern data stack).- Design solutions across data ingestion, transformation, orchestration, modelling, and consumption ...

... following software design, development, testing and documentation best practices.- Extract and parse data from online and local data sources; Clean up data, audit data for accuracy, consistency and completeness.- Apply analytics and artificial intelligence techniques and extract valuable and actionable insights. Data processing ...