2,275 big data testing jobs in India.

• Hybrid

Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...

• Hybrid
• Contract

Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...

$11 USD

... orchestration tools (such as Kafka, Redpanda, Airflow, Spark, or Beam) and an understanding of how to run them efficiently. Practical experience leveraging cloud-native data warehouses or lakehouses (such as BigQuery, Snowflake, ClickHouse, or Redshift) for high-performance analytics. Cloud & DevOps Foundations: Solid working knowledge ...

• Remote
• Contract

... behavior. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. Validate data quality, consistency, and correctness across datasets and experiments. Create clear, well-documented ...

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

• Remote

... Supporting ad-hoc data analysis and business reporting requests Validating data accuracy, consistency, and completeness Investigating data discrepancies and resolving data quality issues Preparing analytical summaries and presenting findings to stakeholders Collaborating with business and technical teams to understand data requirements ...

• Hybrid

... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...

... Python. Take ownership of existing applications for further development and improvements. Analyze codebases to identify and resolve performance issues. Perform data analysis to detect bugs and optimize processes. Participate in code reviews and testing of team members' contributions. Work within agile teams, applying lean ...

... solutions for our clients. Instead, you'll be out in the open water, shaping the future with brilliant minds. We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, ...

• Hybrid
• On-site

700k

... Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. - Working knowledge of software design principles, testing, debugging, performance optimization, and secure development. - Experience with SQL databases and Git-based development workflows. - Practical understanding ...

... maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated testing, including unit test cases using pytest. Collaborate with front end developers to support seamless integration ...

• Full-time

... (Extract, Transform, Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow. Stream ...

... management (Unity Catalog, Lakeformation). Experience in Infrastructure as Code (IaC) using Terraform. Excellent problem-solving and debugging abilities for complex data challenges. Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, ...

• Contract

... https://jobeax.com/link/8om4ubga9gvjbUNE Contact: View phone number on https://jobeax.com/link/8om4ubga9gvjbUNE #Hiring #DataEngineer #SeniorDataEngineer #AzureDatabricks #Databricks #PySpark #PythonDeveloper #AzureCloud #DataEngineering #BigData #ADF #ADLS #SQL #BangaloreJobs #TechHiring #AndorTech #HiringNow #DataPlatform ...

• Hybrid
• On-site

... non-technical stakeholders why data is or is not ready, and that conversation matters as much as the pipeline. Useful, Not Essential - Manufacturing or industrial data experience - Kafka, Debezium or other change-data-capture tooling - Metadata catalogue and governance tooling - Experience defining acceptance criteria on a client ...

80k

... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...

• Full-time

Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...

• Full-time
• Contract

... from raw, high-frequency market data, translating market behavior hypotheses into quantitative signals. Implement signals within our internal simulation/backtesting framework, iterating between exploratory data analysis and framework-based implementation. Validate features through backtesting across historical data, checking ...

... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...

• Hybrid

Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...