Roles and Responsibilities:-

- Design, develop, and maintain robust, scalable, and effective data pipelines on Google Cloud Platform (GCP).

- Work extensively with BigQuery (BQ) for data warehousing, query optimization, and large-scale data analysis.

- Build and manage big data processing workflows using Dataproc (Hadoop/Spark ecosystem on GCP).

- Write, optimize, and troubleshoot complex SQL queries for data transformation, validation, and reporting.

- Design, schedule, and monitor data workflows using Cloud Composer (Apache Airflow).

- Perform root-cause analysis and troubleshooting of pipeline failures, data quality issues, and performance bottlenecks in production environments.

- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable data solutions.





- Ensure data governance, security, and compliance standards are followed across all GCP data engineering solutions.

- Participate in code reviews, design discussions, and knowledge-sharing sessions within the team.

- Document technical designs, data flows, and operational runbooks for supportability.

Interested candidates kindly share your resumes to [email protected] with the below details.

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📌 Gcp Data Engineer, Senior - Chennai
🏢 Prodapt Solutions
📍 Chennai