Data Engineer
EXL
Job Summary We are looking for a skilled Data Engineer with strong experience in Google Cloud Platform (GCP) to design and build scalable data pipelines. The ideal candidate will have hands-on expertise in processing JSON data structures (including complex 3×3 nested formats) and developing efficient data ingestion and transformation workflows. Key Responsibilities Design, develop, and maintain end-to-end data pipelines on GCP Ingest, parse, and transform JSON datasets (including structured 3×3/nested formats) into usable data models Build scalable ETL/ELT pipelines using tools such as Cloud Dataflow, Dataproc, or Composer Optimize data workflows for performance, cost, and reliability Work with structured and semi-structured data from multiple sources (APIs, files, streaming data) Implement data quality checks and validation mechanisms Collaborate with analytics and data science teams to enable downstream use cases Manage data storage solutions such as BigQuery, Cloud Storage, and Pub/Sub Ensure data security, governance, and compliance standards are met Required Skills Strong experience with Google Cloud Platform (GCP) services Hands-on experience in building data pipelines (batch & streaming) Expertise in handling JSON data formats, including nested and matrix-like (3×3) structures Proficiency in SQL and Python (or Java/Scala) Experience with BigQuery for data warehousing and querying Familiarity with Cloud Dataflow / Apache Beam or similar frameworks Understanding of data modeling and ETL design patterns Good to Have Experience with real-time streaming (Pub/Sub, Kafka) Kno
Vacancy posted 24 days ago
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