Data Engineer

We are looking for a talented and motivated Data Engineer with strong experience in PySpark and Python to design, build, and maintain scalable data pipelines and infrastructure. The successful candidate will support the delivery of data-driven insights by transforming raw data into clean, curated datasets for analytics and machine learning applications. Java experience is a plus and will be useful in hybrid environments.

Key Responsibilities:

• Develop and optimize robust, scalable data pipelines using PySpark and Python

• Clean, transform, and enrich large-scale datasets from structured and unstructured sources

• Implement data ingestion, ETL/ELT workflows, and integration strategies across cloud and on-prem platforms

• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements

• Ensure data quality, integrity, and lineage throughout the data lifecycle

• Participate in performance tuning, troubleshooting, and production support

• Contribute to best practices in data engineering, including code versioning, testing, and CI/CD