Join our team as a Lead Senior Associate focusing on Google Cloud Platform Data Engineering. This role is crucial for developing and managing our "Engineering as a Service" offerings in Gurugram. You will leverage your expertise in GCP to build robust and scalable data solutions.

We are seeking an experienced professional to drive innovation and excellence in our data engineering initiatives. Your contributions will directly impact the efficiency and effectiveness of our cloud-based data platforms. This is an exciting opportunity to work with cutting-edge technologies in a dynamic environment.

Design, build, and maintain scalable data pipelines and ETL/ELT processes on GCP. Optimize query performance and data modeling for analytical workloads. Implement and manage GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer (Airflow). Collaborate with cross-functional teams to understand data requirements and deliver solutions. Ensure data quality, security, and compliance with relevant regulations.

A Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field. Over 5 years of experience in data engineering, with a minimum of 3 years focused on GCP. Proficiency in SQL, Python, and/or Java/Scala for data manipulation and scripting. Demonstrated experience with key GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow). Familiarity with CI/CD practices, Terraform, and Git version control.