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GCP Data Engineer (BigQuery)

3 years

6 - 27 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About The Opportunity

A fast-growing player in the Data & Analytics consulting sector, we build cloud-native data platforms and real-time reporting solutions for enterprises in retail, BFSI, and healthcare. Leveraging Google Cloud’s advanced analytics stack, we turn high-volume data into actionable insights that accelerate digital transformation and revenue growth.

Role & Responsibilities

  • Design, develop, and optimize BigQuery data warehouses for petabyte-scale analytics.
  • Build ingestion pipelines using Dataflow, Pub/Sub, and Cloud Storage to ensure reliable, low-latency data availability.
  • Implement ELT/ETL workflows in Python and SQL, applying best practices for partitioning, clustering, and cost control.
  • Create and orchestrate DAGs in Cloud Composer/Airflow to automate data processing and quality checks.
  • Collaborate with analysts and business stakeholders to model datasets, define SLAs, and deliver high-impact dashboards.
  • Harden production environments with CI/CD, Terraform, monitoring, and automated testing for zero-defect releases.

Skills & Qualifications

Must-Have
  • 3+ years building data pipelines on Google Cloud Platform.
  • Expert hands-on experience with BigQuery optimisation and SQL performance tuning.
  • Proficiency in Python scripting for data engineering tasks.
  • Deep understanding of Dataflow or Apache Beam streaming and batch paradigms.
  • Solid grasp of data warehousing principles, partitioning, and metadata management.
  • Version control, containerisation, and CI/CD exposure (Git, Docker, Cloud Build).

Preferred

  • Terraform/IaC for infrastructure provisioning.
  • Experience migrating on-prem warehouses (Teradata, Netezza) to BigQuery.
  • Knowledge of data governance, DLP, and security best practices in GCP.

Benefits & Culture Highlights

  • Industry-leading GCP certifications paid and supported.
  • Product-grade engineering culture with peer mentorship and hackathons.
  • On-site, collaboration-rich workplace designed for learning and innovation.
Skills: apache beam,ci/cd,sql,python,git,cloud storage,dataflow,docker,bigquery,airflow,cloud build,terraform,data warehousing,gcp data engineer (bigquery)

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