GCP Data Engineer

Zorba Consulting; Hyderabad City Taluka; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Zorba Consulting is seeking an experienced GCP Data Engineer with 5+ years of data engineering expertise to design and implement end-to-end data ingestion pipelines on Google Cloud. You will work independently on ETL/ELT tasks, migration projects, and production support, collaborating with cross‑functional teams to ensure reliable data delivery.

The role emphasizes hands-on work with GCP data services, Python scripting, IaC with Terraform, and version control via Git, supporting scalable data

Qualifications

• 5+ years of experience as a Data Engineer or in a similar role.
• ],
• job_responsibilities_description:[
• ],
• CoT_job_summary_short
• job_summary_short
• contract_type
• location_type
• remote_scope
• perks
• stated_min
• stated_max
• stated_absolute
• salary_estimation_cot
• estimated_low
• estimated_medium
• estimated_high
• currency
• frequency
• bonus
• tax
• application_email
• job_end_date
• contact_person
• hiring_department_name

Skills

5+ years data engineering

ETL/ELT design

Analytical thinking

Independent work

Tools

GCP

GCS

BigQuery

Dataflow

Cloud Composer

Data Fusion

Dataproc

Python

Terraform

Git

Job description

• 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