Senior Data Engineer

Overview

Lead the design, development, and implementation of enterprise-scale cloud data solutions on Google Cloud Platform. Translate business requirements into scalable, secure, and performant data platforms while providing technical leadership and mentoring.

What you'll do

• Design and maintain cloud-native data platforms on GCP.
• Architect enterprise data lakes, warehouses, marts, and analytics platforms.
• Build reusable ETL/ELT frameworks and high-volume data pipelines.
• Implement event-driven and batch-processing architectures.
• Establish engineering standards, CI/CD frameworks, and governance processes.
• Ensure data quality, observability, monitoring, lineage, and security.
• Lead architecture reviews, code reviews, technical discussions, and mentoring.

What you'll need

• 8+ years of experience in data engineering, ETL/ELT development, and data platform delivery.
• 5+ years of hands-on Google Cloud Platform experience.
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
• Expert SQL skills and strong Python expertise.
• Experience with BigQuery, GCS, Dataflow, Dataproc, Cloud Run, Pub/Sub, Cloud Composer/Airflow, and Cloud Functions.
• Experience with CI/CD, GitHub, Terraform, Tekton, and infrastructure-as-code.
• Knowledge of distributed processing, data governance, security, privacy, and compliance.

Nice to have

• Google Cloud Professional Data Engineer or Associate Cloud Engineer certification.
• Experience with Qlik Sense, Looker, Power BI, Snowflake, or Databricks.
• Exposure to AI, machine learning, generative AI, or LLMs.
• Experience leading onshore and offshore engineering teams.

Details

• Location: Chennai, India.