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Zorba Consulting

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GCP Data Engineer

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Summary

Zorba Consulting is hiring a GCP Data Engineer with 5+ years of data engineering experience to build, run, monitor, and troubleshoot data ingestion and ETL/ELT pipelines on Google Cloud (GCS, BigQuery, Dataflow, Composer, Data Fusion, Dataproc), using Python, Terraform, and Git, including migration and production support work.

  • We are looking for an experienced GCP Data Engineer with 5+ years of experience in data engineering and hands‑on expertise in Google Cloud Platform.
  • The candidate will be responsible for implementing, managing, monitoring, and troubleshooting data ingestion pipelines using GCP services.
  • The role requires strong experience with GCS, BigQuery, Dataflow, Cloud Composer, Data Fusion, and Dataproc, along with proficiency in Python, Terraform, and Git.
  • The ideal candidate should be comfortable working independently on data ingestion, ETL/ELT, migration, and production support activities.

Key Responsibilities

  • Configure and execute data ingestion pipelines using reusable GCP‑based frameworks.
  • Develop and manage ETL/ELT workflows using GCS, BigQuery, Dataflow, Composer, Data Fusion, and Dataproc.
  • Manage ingestion parameters, job configurations, metadata, and runtime dependencies.
  • Monitor daily data pipeline executions and ensure agreed SLAs are met.
  • Troubleshoot and resolve data, parameter, configuration, and job execution issues.
  • Analyze runtime failures and independently identify and implement appropriate solutions.
  • Escalate framework‑level defects to the core development team when required.
  • Support data engineering and migration projects on GCP.
  • Develop scripts and automation using Python.
  • Maintain infrastructure configurations and deployment scripts using Terraform.
  • Follow Git‑based version control and deployment best practices.
  • Collaborate with cross‑functional teams to ensure smooth delivery and production operations.
  • Identify opportunities to improve ingestion frameworks, processes, and operational efficiency.
  • Contribute to framework enhancements and automation initiatives where applicable.
  • Work with TWS/TWSd or other enterprise scheduling tools for job scheduling and monitoring, where required.

Mandatory Skills

  • 5+ years of experience as a Data Engineer or in a similar role.
  • Strong hands‑on experience with Google Cloud Platform (GCP).
  • Hands‑on experience with: Google Cloud Storage (GCS) BigQuery Dataflow Cloud Composer Cloud Data Fusion Dataproc Strong Python skills for scripting, debugging, and automation.
  • Experience with Terraform / Infrastructure as Code (IaC).
  • Good understanding of Git and version control.
  • Strong understanding of data ingestion, ETL/ELT workflows, and file formats.
  • Ability to independently troubleshoot and resolve production/runtime data issues.
  • Strong analytical and problem‑solving skills.

Good to Have

  • Experience with TWS/TWSd or other enterprise job scheduling and monitoring tools.
  • Understanding of BigQuery SQL optimization.
  • Experience in GCP data migration projects.
  • Exposure to reusable data ingestion frameworks and production data operations.
  • Preferred Candidate Profile The ideal candidate should be a hands‑on GCP Data Engineer who can independently manage data ingestion pipelines, troubleshoot production issues, work with multiple GCP data services, and support ETL/ELT operations.
  • Strong Python, Terraform, and Git knowledge is expected, along with the ability to work effectively in a production environment.

Location: Pan India-Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Skills

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