Data Engineer (PySpark)

We are seeking a highly skilled Data Engineer with strong expertise in PySpark and the Cloudera Data Platform (CDP). The ideal candidate will design, develop, and maintain scalable data pipelines while ensuring high data quality, performance, and availability across the organisation. This role requires hands‑on experience in big data ecosystems, cloud‑native technologies, and advanced data processing frameworks. You will collaborate with cross‑functional teams to build reliable and high‑performance data solutions that drive business insights.

Key Responsibilities

1. Data Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines using PySpark on CDP; ensure data integrity, reliability, and performance optimisation.
2. Data Ingestion: Develop ingestion frameworks to collect data from relational databases, APIs, streaming sources, and file systems; load structured and unstructured data into Data Lake/Data Warehouse environments.
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