Data & Analytics engineer
Role details
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Tech stack
Requirements
Required Skills : 4+ years of hands-on experience as a Data Engineer, with at least 2+ years specifically working with Google Cloud Platform (GCP) data services. Strong proficiency in SQL and experience with schema design and query optimization for large datasets. Expertise in BigQuery, including advanced SQL, partitioning, clustering, and performance tuning. Hands-on experience with at least one of the following GCP data processing services: Dataflow (Apache Beam), Dataproc (Apache Spark/Hadoop), or Composer (Apache Airflow). Proficiency in at least one scripting/programming language (e.g., Python, Java, Scala) for data manipulation and pipeline development. Understanding of data warehousing and data lake concepts and best practices. Experience with version control systems (e.g., Git).