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Posted 02 July, 2026

Google Cloud Data Engineer

VARITE INDIA PRIVATE LIMITED
Bangalore, Karnataka, IN Full Time
Reference: 26-36475-2522-2

Company Name: VARITE India Private Limited

About The Client:

An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.

About The Job:

  • Exp: 8-12 years
  • Data Engineer - 7-10 years experience

Essential Job Functions:

  • Build and Optimize ELT/ETL Pipelines using BigQuery, GCS, Dataflow, PubSub and Orchestration services Composer/Airflow
  • Hands-On experience in building ETL/ELT Pipelines with developing software code in Python
  • Experience in working with data warehouses, data warehouse technical architectures, reporting/analytic tools
  • Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data
  • Demonstrate extensive skills and success in the implementation of technology projects within a professional environment, with a particular focus on data engineering
  • Eager to learn and explore new services within GCP to enhance skills and contribution to Projects
  • Demonstrated excellent communication, presentation, and problem-solving skills.
  • Prior Experience in ETL tool such as DBT, Talend Etc

Qualifications:
Good to have skills

  • AI/ML, Gen AI Background
  • IAM, Cloud Logging and Monitoring
  • The Data Engineer coaches the junior data engineering personnel position by bringing them up to speed and help them get better understanding of overall Data ecosystem.
  • Working Experience with Agile methodologies and CI/CD Tools like Terraform/Jenkins
  • Working on Solution deck, IP build, client meetings on requirement gathering

Technical / Functional Skills

  • Knowledge in architecture principles, guidelines and standards
  • Data Warehousing
  • Programming Language: Python, SQL
  • Big Data
  • Data Analytics
  • Experience in Building Streaming and Batch data pipelines with GCP services
  • Experience in designing & implementing solution in mentioned areas:
    • Cloud Storage
    • BigQuery
    • Data Flow
    • DataProc
    • PubSub
    • Data Fusion
    • Cloud Function
    • Composer etc

Core Competencies (Soft Skills)

  • Strong communication & presentation
  • Analytical, client-first mindset
  • Leadership & stakeholder management
  • Ability to work in global, fast-paced environment
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:
0-2 years INR 5,000
2-6 years INR 7,500
6+ years INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

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