Responsibilities

• Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom.

• Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP).

• Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance.

• Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs.

• Partner with product teams across domains to enable data sharing and integration within a data mesh context.

• Drive continuous improvement, enhance data engineering practices, and reduce technical debt.

• Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

• Experience with GCP services such as Cloud Run

• Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive).

• Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi).

• Experience with DBT in production data transformation workflows.

• Knowledge of modern data governance and cataloging practices.

• Experience with data visualization tools and collaboration with analytical stakeholders.

Required cloud certification: Yes, good to have GCP data engineer