GCP Data Engineer
First seen by Alion on Oct 31, 2026.
Dear Aspirants,
Greetings from ValueLabs!
We are hiring for GCP Data engineer
Role: GCP Data engineer
Experience: 6+ Years
NP: Immediate
Location : Hyderabad - Hybrid
Job Description: Data Engineers build, test and run the data pipelines and models on our GCP platform. You will work with the Data Architect to turn designs into reliable, cost-efficient production pipelines that feed analytics, reporting and ML. Key responsibilities • Build batch and streaming pipelines using Dataflow (Apache Beam), Dataproc (PySpark), Pub/Sub and Datastream. • Develop and optimise BigQuery datasets, tables, views and stored procedures; apply partitioning and clustering. • Ingest data from databases, APIs, files and SaaS sources into Cloud Storage and BigQuery. • Orchestrate and schedule workflows with Cloud Composer (Apache Airflow). • Implement transformations and data models with SQL, Python, dbt or Dataform. • Build data-quality checks, validation and reconciliation; monitor pipelines with Cloud Monitoring and Logging. • Support migration of legacy ETL (Informatica, SSIS, Talend, Hadoop) workloads to GCP. • Write infrastructure as code with Terraform and deploy through CI/CD pipelines. • Apply security and governance standards: IAM roles, PII masking, Dataplex / Data Catalog metadata. • Troubleshoot production issues, tune performance and reduce cost. • Write technical documentation and take part in code reviews and Agile ceremonies. Required skills • Hands-on experience with BigQuery, Dataflow or Dataproc, Pub/Sub, Cloud Storage and Cloud Composer. • Strong SQL (complex joins, window functions, performance tuning). • Strong Python; PySpark experience. • Understanding of data warehousing, dimensional modelling and ETL / ELT patterns. • Experience with Git and CI/CD (Cloud Build, GitHub Actions or Jenkins). • Familiarity with Linux shell scripting and REST APIs. • Good problem-solving and communication skills; comfortable working in Agile teams. Nice to have • Java or Scala for Apache Beam. • Experience with Kafka, Cloud Functions / Cloud Run, or Bigtable / Spanner / Cloud SQL. • Exposure to Looker / Looker Studio, BigQuery ML or Vertex AI. • Experience on AWS or Azure data services.