Posted:2 days ago|
Platform:
Work from Office
Full Time
Design, develop, and maintain scalable ETL/ELT data pipelines on GCP using PySpark and other tools.
Leverage BigQuery, Cloud Storage, Cloud Composer, and related GCP services for data ingestion, transformation, and loading.
Optimize data pipelines for performance, scalability, and cost-effectiveness.
Ensure robust data validation, governance, and quality checks across all workflows.
Collaborate with data scientists, analysts, and product teams to define and implement end-to-end data solutions.
Monitor production pipelines and proactively resolve issues to ensure reliability and uptime.
Apply CI/CD practices for managing and deploying data engineering code.
5 12 years of overall experience in data engineering.
Solid understanding of data modeling, warehouse architecture, and best practices.
Familiarity with version control systems (e.g., Git) and DevOps tools.
Experience with additional GCP tools like Pub/Sub, Dataflow, and Dataproc.
Understanding of data security and compliance standards (e.g., GDPR, HIPAA).
Exposure to other programming languages such as Java or Scala is a plus.
Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or related field.
Rarr Technologies
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