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Strong PwC brand, mid-level generalist data engineer in Pune creates high applicant competition.
GCP/Dataplex specialization reduces portability, but core data engineering skills remain broadly transferable.
Mandatory 4–8 years plus specific GCP, Dataplex, DBT and IaC skills raise filter strictness.
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Design, build, and optimize data warehouses and data lakes using GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Dataplex.
Implement data governance frameworks including lineage, metadata management, data quality, security, and compliance using Dataplex and other tools.
Develop and manage ETL/ELT processes, orchestrate data workflows using Apache Airflow/Cloud Composer, and collaborate with teams to deliver end-to-end data solutions supporting analytics and ML initiatives.
4-8 years of relevant work experience in data engineering and analytics on GCP.
Proficiency with GCP data services including BigQuery, Dataflow, Pub/Sub, Dataproc, Dataplex, Cloud Storage, Data Catalog, and Cloud Composer.
Strong programming skills in SQL, Python, and/or Java; experience with ETL/ELT development (DBT) and orchestration tools like Apache Airflow.
Educational qualification: B.Tech, M.Tech, MBA, or MCA.
Experienced in implementing data governance and security best practices specifically using Dataplex and related GCP tools.
Skilled in data mesh architecture and domain-driven design, indicating strategic understanding of modern data platforms.
Familiar with DevOps and CI/CD practices for data workflows, including Infrastructure as Code tools like Terraform or Deployment Manager.