2,314 big data testing jobs in India.

... Experience in managing data warehouses, such as Bigquery or Snowflake Experience with 3NF, Dimensional Models, and Data Vault Expertise in building ETL pipelines and data pipeline frameworks like Airbyte, AWS Firehose, Airflow, dbt Experience with engineering processes like Unit Testing and CI/CD Hands-on experience in AWS ecosystem ...

... of experience in Compliance, KYC/AML, Risk Intelligence, or Sanctions Screening platforms. Experience with sanctions, watchlists, PEP data, corporate registry data, beneficial ownership data, or adverse media datasets is highly preferred. - Exposure to NLP/ML , Elasticsearch/OpenSearch, and multilingual data processing is ...

... cost savings. Testing, Release & Adoption Define acceptance criteria and coordinate business/UAT validation of engineering deliverables. Validate that delivered datasets and data products meet functional requirements before release and monitor adoption, data quality, and business outcomes after implementation. Must have skills ...

... optimization, Assortment Planning, pricing, shelf placements. Expertise in programming language such as Python, SQL is a must and Pyspark good to have. clustering, A/B testing, Time Series, demand forecasting, Tree-based algorithms and model Expertise in visualization tools such as Power BI, QlikView, Tableau, etc. Must have retail ...

... scalability, and alignment with global standards Translate finance questions into structured data requirements for the Power BI team Data Definitions & Governance Own data definitions, KPI definitions, field mappings, and calculation logic Ensure consistent KPI definitions across countries, regions, and business units Data Modelling ...

... Define data engineering standards, best practices, and governance frameworks for the team Architect and optimize data lake/warehouse solutions (e.g., Snowflake, BigQuery, Redshift) for performance and cost Mentor junior data engineers and review designs/code for quality and scalability Partner with Data Science/AI teams to ...

... technical products and solutions driving big data and cloud-based technologies, ensuring they are designed and built to be scalable, sustainable, and robust. DATA FRAMEWORKS: Drives development standards and brings forward prototypes to test new data framework concepts and architecture patterns supporting efficient data ...

... decisions through well-structured documentation and stakeholder routines. Bachelor's degree with 6+ years of experience in data delivery, analytics enablement, data governance, or adjacent roles Proficientin SQL to analyze data, validate quality, and support investigations across relational or big data platforms Communicate ...

... for data governance. Perform risk assessments and DPIAs. Create and put into effect data privacy policies. Risk Evaluations Give instructions and directions on data protection. Communicate with authorities and deal with data breaches 5 years' experience working within Data Protection - Strong knowledge of GDPR and data protection ...

... workforce management. Proficiency in data analysis and visualization tools (e.g., SQL, Python, Pyspark, Tableau, Power BI, Excel) Understanding of ETL pipelines, data warehousing, and cloud-based AI analytics platforms Proficiency in A/B testing, cohort analysis, MECE methodologies, and predictive modelling AI/ML Knowledge ...

... competitive advantage. Band: M3/M4 (6 to 14 years) Should have experience in PySpark and Scala + Spark for 4+ years (Min experience). Proficient in debugging and data analysis skills. Should have Spark experience of 4+ years Should have understanding of SDLC and Big Data Application Life Cycle Should have experience in GIT ...

... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...

... understanding of ETL/ELT concepts, data integration, data transformation, and data warehousing.- Experience designing and implementing data pipelines using multiple data sources.- Good understanding of Azure cloud services, security, networking, and data platform architecture.- Experience working with ERP data and ERP data flows.- ...

... ways that are robust, scalable, and secure. We don't get everything right first time, but you will help us reflect, adjust and be better next time around. Our data pipelines are currently based upon Google BigQuery, FiveTran and DBT Cloud. These involve advanced SQL alongside Python in a variety of areas. We don't need you ...

... used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple ...

... management, data visualization, PowerPoint, excel etc Strong communication skills, with the ability to present analysis clearly. Expert in working with large complex data sets and data visualization tools; strong ability to draw simplicity from complexity and bring structure to ambiguity when working with data Good analytical, ...

... scalable data capabilities Strong programming, data engineering, data modeling and analytical problem-solving skills, including experience with large and complex datasets Experience operating in cross-functional environments and partnering with business, analytical, technology and data stakeholders to deliver complex initiatives ...

... consistently. You will also partner with the different teams to identify, pilot, and operationalize AI- and automation-driven tools that reduce manual work, improve data quality, and scale our workflows, while training your team to adopt these tools safely and effectively. A Day in the Life of a Provider Data Operations Team Lead: ...

... hands-on sessions on database concepts such as relational models, SQL, NoSQL, normalization, and database design. Teach advanced topics like query optimization, database security, data warehousing, and cloud databases. Build real-world capstone projects that combine data visualization with AI/ML applications. Stay up to date ...

... solve business-critical challenges such as churn prediction, recommendation systems, and behavioral analytics. Data Engineering & Integration Architect robust data collection and integration pipelines across multiple data sources, including Firebase (Firestore, Firebase Analytics) and BigQuery . Oversee data preprocessing, ...