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Data Engineering Manager

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Description

Data Integration Manager (Data Engineering)
Experience: 9-14 Years

Key Responsibilities

  • Lead and mentor a team of Data Engineers.
  • Design, develop, and maintain ETL/ELT pipelines.
  • Build scalable data solutions using GCP, Python, SQL, BigQuery, DBT, and Apache Airflow.
  • Ensure data quality, governance, monitoring, and DataOps best practices.
  • Collaborate with business and technical teams to deliver reliable data platforms.
  • Drive AI adoption and engineering best practices across the team.

Required Skills

  • 9+ years of Data Engineering experience with 3+ years in team management.
  • Strong hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, Cloud Storage, and Cloud SQL.
  • Expertise in Python, SQL, ETL/ELT, DBT, Apache Airflow, and modern data architecture.
  • Strong understanding of Data Modeling, DataOps, and cloud-based data platforms.
  • Excellent communication and stakeholder management skills.

If you're passionate about leading data engineering teams and building scalable cloud data solutions, we'd love to hear from you.



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See also

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