Data Engineering Manager - GCP

We are looking for a Senior GCP Data Engineer with 6+ years of experience in designing, developing, and maintaining scalable data engineering solutions on Google Cloud Platform (GCP). The ideal candidate should have strong hands-on expertise in Python, SQL, data pipelines, and GCP data services.

Key Responsibilities

• Design and develop scalable and reliable data pipelines using GCP services.

• Develop data processing and transformation solutions using Python and SQL.

• Build and optimize ETL/ELT pipelines for large-volume datasets.

• Work with business and technical teams to understand data requirements and deliver robust solutions.

• Perform data modeling, data validation, and performance optimization.

• Monitor and troubleshoot data pipelines and resolve production issues.

• Implement data quality, security, and governance best practices.

• Participate in code reviews and contribute to technical design and architecture discussions. Qualifications

• 6+ years of experience in Data Engineering.

• Strong hands-on experience with Google Cloud Platform (GCP).

• Strong programming experience in Python.

• Strong expertise in SQL, including complex queries, joins, CTEs, window functions, and query optimization.

• Experience developing ETL/ELT data pipelines.

• Hands-on experience with one or more GCP services such as:

  • BigQuery
  • Cloud Storage (GCS)
  • Cloud Composer / Airflow
  • Dataflow
  • Pub/Sub
  • Dataproc

• Experience with Apache Spark / PySpark is preferred.

• Good understanding of data warehousing, data modeling, and distributed data processing.

• Experience with Git and CI/CD practices.

Nice to Have

• Experience with Terraform or Infrastructure as Code.

• Exposure to GCP Dataform.

• Experience with real-time/streaming data pipelines.

• Knowledge of cloud security and IAM.

• Experience working in Agile environments.

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