Data Engineer

Job Description

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

·       Required cloud certification: GCP Certifications

Good 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.