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Salary
≈ $13k – $31k per year (Estimated)
Location
In office (Chennai, 4am - 8am)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 17, 2026.

Overview
Company
Impact
Profile match
Tech Mahindra is a prominent Indian multinational information technology services and consulting enterprise specializing in digital transformation, cloud modernization, business process re-engineering, and network services. Headquartered in Pune, Maharashtra, India (with its registered office in Mumbai), the company is a flagship entity of the diversified Mahindra Group conglomerate. Established in 1986 (initially as Mahindra British Telecom), it operates across dozens of countries with a global delivery footprint serving enterprise clients in telecommunications, banking and financial services, healthcare, automotive, and retail. The organization is particularly recognized for its deep engineering heritage in telecommunications and 5G network integration, offering end-to-end solutions spanning artificial intelligence, enterprise application management, customer experience (CX), and next-generation connectivity infrastructure.
Backed by Seafund

Job Description

  • Skill Set :

    Dataproc,GCP Big Query

  • Total Experience :

    4.00 to 8.00 Years

  • No of Openings :

    1

  • Job Post Date :

    11/08/2026

  • Job Expiry Date :

    30/11/2026

  • Domain :

    IT

  • Location :

    CHENNAI [India]

  • Job Reference No :

    4101036

Job Summary

Job Description: GCP Data Engineer

Experience: 5 7 Years

Job Summary

Looking for a GCP Data Engineer with hands on experience in BigQuery, Dataproc, Google Cloud Storage (GCS), Apache Airflow, and Python to build scalable data pipelines and cloud based analytics solutions.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines on GCP.
  • Build scalable data processing solutions using BigQuery and Dataproc.
  • Develop workflow orchestration using Airflow/Cloud Composer.
  • Create data ingestion and transformation frameworks using Python.
  • Manage data lakes and warehouses using GCS and BigQuery.
  • Optimize SQL queries and improve pipeline performance.
  • Implement monitoring, troubleshooting, and performance tuning.
  • Collaborate with business, analytics, and engineering teams.
  • Follow best practices for security, governance, and data quality.

Required Skills

  • 5+ years of Data Engineering experience.
  • Strong expertise in:
    • Google BigQuery
    • Google Cloud Storage (GCS)
    • Google Dataproc
    • Apache Airflow / Cloud Composer
    • Python
  • Advanced SQL programming and query optimization.
  • Experience with Spark and distributed data processing.
  • Strong understanding of ETL/ELT, data warehousing, and data modeling.
  • Experience with Git, CI/CD, and Agile methodologies.
  • Excellent analytical and problem solving skills.

Preferred Skills

  • Experience with Pub/Sub, Dataflow, DBT, or Looker.
  • Knowledge of Terraform and Infrastructure as Code.
  • Exposure to data governance and data quality frameworks.
  • GCP Certification is a plus.
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