Back
Mid-level generalist data role at Tier-1 firm in a metro drives high candidate density.
Role requires specific GCP data engineering and governance expertise, limiting cross-industry transferability.
Explicit 4-8 years and mandatory GCP, DBT, Terraform, and data governance skills impose high filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize data solutions using GCP services including BigQuery, Dataflow, Dataproc, Cloud Storage, and more.
Implement data governance frameworks including lineage, metadata management, data quality, security controls to ensure compliance and data privacy.
Collaborate with cross-functional teams to deliver end-to-end data integration, warehousing, and transformation workflows supporting analytics and ML initiatives.
4-8 years of relevant work experience in GCP data engineering and data analytics.
Proficiency with GCP Data Services: BigQuery, Dataflow, Pub/Sub, Dataproc, Dataplex, Cloud Storage, Data Catalog, Cloud Composer.
Strong skills in data engineering concepts: data governance, ETL/ELT (DBT), data modeling, data mesh architecture, and orchestration tools like Apache Airflow/Cloud Composer.
Bachelor’s or Master’s degree in Engineering, Business Administration, or related field (B.Tech/M.Tech/MBA/MCA).
Experienced in building and optimizing scalable data warehouses and lakes within GCP environments using modern data engineering and infrastructure as code practices (Terraform/Deployment Manager).
Skilled in programming with Python, SQL, and/or Java and applying DevOps and CI/CD practices on data workflows.
Familiar with advanced data governance frameworks and domain-driven design (Data Mesh architecture) to manage data lineage, quality, and security in complex enterprise environments.