Key Responsibilities

• Develop and maintain ETL/ELT pipelines using GCP tools (Dataflow, BigQuery, Cloud Composer, Dataproc, etc.).
• Design and optimize data models and storage solutions.
• Implement data quality, governance, and security best practices.
• Collaborate with cross-functional teams to enable data-driven insights.
• Monitor and troubleshoot data workflows and performance issues.

Required Skills & Qualifications

• 3–6+ years of experience in data engineering.
• Strong proficiency with GCP data services and SQL.
• Experience with Python, Apache Beam, or Spark.
• Familiarity with CI/CD, version control, and DevOps practices.
• Excellent problem-solving and communication skills.

Preferred

• GCP Professional Data Engineer certification.
• Experience with Airflow, Terraform, or Looker.

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