Live opening · Posted 19 days ago
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About the role
Description supplied by the original job listing.
Responsibilities:
Design and develop scalable data pipelines on GCP.
Build ETL/ELT solutions using Dataflow and Dataproc.
Develop and optimise BigQuery datasets for reporting and analytics.
Manage structured and unstructured data in GCS.
Implement data quality, validation, and monitoring frameworks.
Collaborate with business, analytics, and engineering teams to deliver data solutions.
Troubleshoot production issues and optimise pipeline performance.
Requirements:
Strong SQL expertise.
Python and PySpark development.
Apache Spark ecosystem.
BigQuery, Dataflow, Dataproc, GCS (mandatory).
Data warehousing and data modelling concepts.
Experience with batch and real-time data processing.
Understanding of cloud security and IAM.
Experience
5-8 yrs
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