:

- About the job
- Step into a role where your Python expertise directly powers reliable high quality data movement across systems
- As part of a collaborative engineering team you ll help design and build scalable data processing solutions that enable faster insights and smoother operations
- You ll work closely with stakeholders to understand data needs translate them into robust pipelines and continuously improve performance and stability
- This is a great opportunity for someone who enjoys solving real world data challenges values clean and maintainable code and takes pride in delivering dependable systems
- If you re motivated by ownership teamwork and building data workflows that others can trust you ll feel right at home here

Key Responsibilities:

- Key Responsibilities
- Build and maintain Python based data processing components for structured and semi structured datasets
- Develop and support ETL workflows to ingest transform validate and load data into target systems
- Design and optimize SQL queries for data extraction transformation reconciliation and reporting needs
- Implement reliable data pipelines with proper logging error handling retries and monitoring hooks
- Perform data quality checks anomaly detection rules and reconciliation to ensure accuracy and completeness
- Troubleshoot pipeline failures and performance bottlenecks drive root cause analysis and permanent fixes
- Collaborate with cross functional teams to gather requirements and deliver incremental improvements




- Maintain clear technical documentation for pipeline design data mappings and operational runbooks

Technical Requirements:

- Primary skills Python Data Processing Technology Big Data Data Processing PySpark Technology OpenSystem Python OpenSystem Python

Additional Responsibilities:

- Minimum Qualifications
- Bachelor s degree or equivalent in Engineering Computer Science IT or related field BTech BE BSc or equivalent
- 2 3 years of hands on experience in Python for data processing and automation
- Practical experience building ETL processes and working with data pipelines end to end
- Solid SQL skills including joins aggregations subqueries and performance aware query writing
- Ability to write clean maintainable code and follow basic engineering practices version control reviews testing mindset
- Preferred Qualifications
- Experience designing scalable pipeline patterns incremental loads CDC concepts partitioning backfills
- Familiarity with Python data libraries and processing approaches e
- g
- Pandas batch processing patterns
- Exposure to orchestration scheduling concepts and operationalizing pipelines for reliability and observability
- Experience working with large datasets and optimizing end to end pipeline performance I O SQL tuning compute efficiency
- Proven ability to collaborate with stakeholders translate requirements into technical solutions and deliver within timelines
- Good to have skills
- Pandas NumPy Apache Airflow Spark PySpark Linux Shell Scripting

Preferred Skills:

Technology->OpenSystem->Python - OpenSystem->Python,Technology->Big Data - Data Processing->PySpark

📌 Python - Data Processing (Bengaluru)
🏢 Infosys
📍 Bengaluru