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Data Integration Engineer - Hexaware Technologies
Implementation Engineer
Data Integration Engineer building high‑performance ETL/ELT pipelines with Python, Pandas, SQL and Polars, focusing on parallelism, optimization, and analytics‑ready data warehouses.
About the role
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for data warehousing.
- Implement high‑performance data transformations using Python, Pandas, and Polars.
- Optimize pipeline performance for speed, memory usage, and parallel execution.
- Ensure reliability and fault tolerance through robust error handling and monitoring.
- Collaborate with data analysts and engineers to produce analytics‑ready datasets.
Requirements
- 4–7 years of experience as a Python developer in data engineering.
- Experience with Agentic Workflows and advanced window functions.
- Strong understanding of parallel processing and performance tuning.
- Excellent problem‑solving skills and a passion for clean, maintainable code.