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Posted 12 June, 2026

Data Engineer

VARITE INDIA PRIVATE LIMITED
Pune, Maharashtra, IN Full Time
Reference: 26-27085-2522-2

Company Name: VARITE India Private Limited

About The Client:

Client is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm

About The Job:
  • We are looking for a skilled Data Engineer to design, build, and optimize scalable data pipelines and data platforms.
  • The ideal candidate will have strong experience in data processing, ETL/ELT pipelines, and cloud-based data architectures, and should be comfortable working with large datasets to enable analytics and AI/ML use cases.
Essential Job Functions:
Data Engineering & Pipeline Development
  • Design and develop robust, scalable data pipelines (batch and real-time)
  • Build and maintain ETL/ELT workflows for ingesting structured and unstructured data
  • Ensure data quality, validation, and reliability across pipelines
  • Optimize data pipelines for performance, scalability, and cost efficiency
Data Architecture & Modeling
  • Design and implement data models (star/snowflake schemas, data marts)
  • Manage data lakes, warehouses, and Lakehouse architectures
  • Define data schemas, partitioning strategies, and storage formats (Parquet, Delta, etc.)
  • Ensure data lineage, versioning, and governance
Cloud & Platform Engineering
  • Build and deploy solutions on cloud platforms (AWS / Azure / GCP)
  • Work with tools/services like:
    • AWS: S3, Glue, Redshift, Lambda
    • Azure: Data Factory, Synapse, ADLS
  • Implement infrastructure using CI/CD pipelines and automation frameworks
Collaboration & Stakeholder Alignment
  • Work closely with data scientists, analysts, and product teams
  • Translate business requirements into data solutions
  • Support analytics, reporting, and AI/ML initiatives
Monitoring & Optimization
  • Implement logging, monitoring, and alerting
  • Troubleshoot and resolve pipeline failures
  • Continuously improve system performance and reliability
Qualifications:
  • 5–7 years of experience in Data Engineering / Big Data
  • Strong programming skills in Python (mandatory) and SQL
  • Hands-on experience with ETL/ELT tools (Airflow, Luigi, Azkaban, etc.)
  • Experience with big data technologies (Spark, Hadoop, Kafka – preferred)
  • Strong understanding of data modeling and data warehousing concepts
  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with data formats (JSON, Parquet, Avro, Delta)
  • Strong understanding of data quality, lineage, and governance
  • Proficiency with Git and CI/CD workflows

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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