About The Opportunity
Industry: Cloud Data & Analytics / Enterprise Cloud Services. Sector: Technology Data Engineering & Analytics. We are hiring a hands-on senior data engineer to design, build and operate large-scale data pipelines and analytics platforms on Google Cloud Platform (GCP). This is an on-site role based in India.
Primary job title (best-performing): Google Cloud Data Engineer
Role & Responsibilities
- Design and implement scalable ETL/ELT pipelines on GCP using Dataflow, Pub/Sub, Cloud Storage and BigQuery for batch and streaming workloads.
- Optimize BigQuery schemas, queries, partitioning and clustering to reduce cost and improve query performance at scale.
- Develop and maintain data processing code in Python and Apache Beam; ensure robust error handling, retries and idempotency.
- Author infrastructure-as-code for data platforms using Terraform and integrate deployments with CI/CD pipelines (Cloud Build/other tools).
- Instrument monitoring, logging and alerting for pipelines and data jobs using Cloud Monitoring (Stackdriver) and troubleshoot production incidents.
- Collaborate with data scientists, analysts and product teams to translate business requirements into reliable, secure data solutions and enforce data governance/IAM policies.
Skills & Qualifications
Must-Have
- Proven experience building production data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub).
- Strong SQL expertise with demonstrated BigQuery performance tuning and cost optimization.
- Hands-on Python development for ETL and experience with Apache Beam for Dataflow jobs.
- Experience with infrastructure-as-code and CI/CD tooling (Terraform, Cloud Build or equivalent).
- Solid understanding of data modeling, partitioning, clustering, and data governance (IAM, encryption).
- Operational experience with monitoring/logging and debugging data jobs in production (Cloud Monitoring/Stackdriver).
Preferred
- GCP Professional Data Engineer certification.
- Experience with Airflow/Composer for orchestration and streaming analytics patterns.
- Familiarity with containerization (Kubernetes) or Hadoop ecosystems (Dataproc) is a plus.
Benefits & Culture Highlights
- On-site, collaborative engineering environment focused on ownership and measurable impact.
- Learning and certification support for GCP technologies and career development.
- Opportunities to work on high-throughput analytics systems and shape data platform best practices.
Keywords: GCP Data Engineer, Google Cloud, BigQuery, Dataflow, Pub/Sub, Apache Beam, Python, SQL, Terraform, ETL, Data Pipelines, Cloud Monitoring.
Skills: google cloud platform,python,sql,cloud storage,gcp
