Job DescriptionWe're Hiring | GCP Data Engineer | Pan India | TS
NWe are looking for experienced GCP Data Engineers to join our growing team. The ideal candidate should have robust hands-on experience in BigQuery-based data warehousing, Dataproc/Spark processing, and orchestrated, cost-productive pipelines to deliver scalable analytics and AI-ready data products for BFSI clients.
NLocation
nPan India
NExperience
n6–10 Years (role-dependent), including 3+ years hands-on GCP
NEmployment Type
nFull-time
NKey Responsibilities
n
N
Robust experience and understanding of Data Warehouse and Data Lake platform architecture and design. N
Design and develop scalable batch and streaming pipelines on GCP using Dataflow, Dataproc (Spark), Pub/Sub, and Cloud Functions. N
Build and optimise cloud data warehouse solutions on BigQuery, including partitioning, clustering, and query cost optimisation. N
Migrate and modernise legacy workloads (Hadoop, Teradata, on-prem ETL) to GCP using Dataproc, BigQuery, and Data Fusion. N
Develop ELT/ETL workflows with Python,



Java, Scala, and PySpark;
orchestrate pipelines using Cloud Composer (Airflow). N
Implement data securityand governance via Cloud IAM, and build reusable data validation and reconciliation frameworks. N
Tune Spark and BigQueryworkloads for performance and cost, achieving measurable runtime and storage improvements. N
Set up CI/CD and automation for GCP data assets using Git-based pipelines and infrastructure-as-code. N
Collaborate with architects and client teams on solutioning, PoCs, demos, and production cutover. N

nMandatory Skills
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n
Google Cloud Platform (BigQuery, Dataproc, Dataflow) N
Pub/Sub, Cloud Functions, Data Fusion, Data Transfer N
PySpark/Spark, Python, SQL (Java/Scala a plus) N
Cloud Composer (Airflow) orchestration N
Data warehouse & pipeline design + performance tuning N
Cloud IAM — data security & access governance N

nGood to Have
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