2,289 big data testing jobs in India.

... analytical Data Analyst with a strong accounting and finance background to join our team. The ideal candidate will have a minimum of 3 years of proven experience in data analysis, financial reporting, dashboard development, and business intelligence solutions. This role requires expertise in Power BI, data visualization, financial ...

Rs 9 - 19.5 lakhs p.a.

... responsibilities, including planning, development, and troubleshooting. The ideal candidate will work closely with our development and IT operations teams to ensure seamless database operations and optimal performance. Skills Bachelor's degree in computer science, Information Technology, or related field. Total experience of 8 to 14 yrs ...

• Hybrid

... science, Information Security, or related field. - Relevant certifications such as CISSP, CEH, or OSCP are a plus. Responsibilities - 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. - Experience with DSPM tools and integration in hybrid environments. - Familiarity ...

• Hybrid
• On-site

... experience preferred. - Implement data transformations and data structures for data warehouse and lake/repository. - Manage cloud and/or on-premises solutions for data transfer and storage. - Process data using spark (PySpark) - Manage cloud and/or on-premises solutions for data transfer and storage. - Collaborate and work with ...

• Remote

... Working with relational and NoSQL databases Ensuring data quality, consistency, and reliability Building data processing and transformation workflows Monitoring data pipelines and troubleshooting failures Supporting data warehouse and data lake environments Documenting data pipelines, schemas, and processes Collaborating with ...

... modules DSR DPIA RoPA Consent Vendor Risk Execute end to end DSR DSAR workflows and privacy operations Perform data discovery classification and scanning using BigID Build and maintain data inventory catalog and lineage Identify sensitive data and risks PII overexposure dark data Support RoPA DPIA and regulatory compliance ...

... scalable. Authoring and design of Big Data ETL platforms and pipelines in SCOPE, Scala, SQL, Python, or C# Data extraction across a wide variety of data sources Data cleaning, preprocessing, and transformation for further analysis by data analysts Data Validation framework from source to endpoints ensuring data quality and ...

... driven to deliver high quality data solutions that enable better decision making across the organization. This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure ...

• Hybrid
• Full-time

... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...

... development lifecycle (SDLC) methodologies and best practices. Testing & Quality Assurance Develop comprehensive test cases and test scenarios. Conduct Unit Testing, System Integration Testing (SIT), and support User Acceptance Testing (UAT). Assist customers and business users during UAT activities and defect resolution. ...

... https://jobeax.com/link/eLxO3SLmpqvNPOZi : - Strong hands-on Databricks Architect/Databricks Engineer Profile with end-to-end build-and-solution capability and Databricks professional certification.- Must have 6+ years in Data engineering/Data architect roles, with at least recent 3 years of hands-on Databricks experience.- ...

• Contract

... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...

• Hybrid

... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...

Required - 3–7 years of Data/Cloud Engineering experience with hands-on GCP . - Strong SQL and Python skills. - Experience with Spanner, BigQuery and batch/streaming pipelines . - Good understanding of GCP IAM, monitoring, logging and production support. - Strong troubleshooting mindset and ability to ramp up quickly in ...

• Remote
• Hybrid
• Full-time

... monitoring, logging, alerting, incident response, and clean CI/CD via Azure DevOps. - Translate ambiguous business asks into reliable, documented, maintainable data products. 3+ years in data engineering, with significant Spark / PySpark at production scale. - Strong SQL and dimensional data modeling (Kimball-style star schemas, ...

... and maintain scalable data pipelines for data processing and transformation Build and manage workflow orchestration using Apache Airflow Develop and maintain data models and transformations using dbt Work with BigQuery or similar cloud data warehouses for data storage and querying Manage and interact with cloud object storage ...

• Hybrid

... quality, and observability. Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). - Create data aggregates & marts: Data modeling & contracts: Define schemas, data contracts, and ...

• Hybrid

DATA ENGINEER EXPERIENCE - 5-8 yrs WORK MODE - HYBRID Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake. Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting. Cloud Infrastructure ...

90k

... Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities in R and/or Phyton Relationship/ ...

Opportunity Overview We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform. You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases. ...