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Posted 10 July, 2026

AWS Data Engineer (Python & PySpark)

VARITE INDIA PRIVATE LIMITED
Pan India, Karnataka, IN Full Time
Reference: 26-37989-2522-2

Company Name: VARITE India Private Limited

About The Client:

Client is an Indian multinational technology company specializing in information technology services and consulting. Headquartered in Mumbai, it is a part of the Tata Group and operates in 150 locations across 46 countries.

About The Job:
  • We are looking for an experienced AWS Data Engineer with strong expertise in Python, PySpark, and AWS Data Services to design, develop, and optimize scalable data pipelines and cloud-based data engineering solutions. The ideal candidate should have hands-on experience in developing large-scale data processing applications, data lake implementations, and ETL/ELT frameworks on AWS
Essential Job Functions:
  • Design, develop, and maintain scalable data pipelines using Python and PySpark.
  • Build and optimize ETL/ELT processes on AWS cloud platforms.
  • Develop batch and real-time data processing solutions.
  • Work with large-scale structured and unstructured datasets.
  • Create and maintain Data Lakes and Data Warehouse solutions.
  • Perform data quality validation, monitoring, and troubleshooting.
  • Collaborate with business stakeholders, architects, and development teams to gather requirements and deliver data solutions.
  • Optimize Spark jobs for performance, scalability, and cost efficiency.
  • Participate in code reviews and ensure adherence to coding standards.
  • Support production deployments and resolve critical incidents.
Qualifications:
Relevant Experience:
  • 6–12 years of overall IT experience.
  • Minimum 4+ years of hands-on experience in Python and PySpark development.
  • Experience in AWS-based data engineering projects.
  • Strong exposure to Data Warehousing and Data Lake architectures.
Education:
  • BE / B.Tech / MCA / M.Tech or equivalent.

Must-Have Skills:
  • Strong programming experience in Python
  • Hands-on expertise in PySpark
  • Experience with AWS services such as:
    • S3
    • EMR
    • Glue
    • Lambda
    • IAM
    • Athena
    • Redshift
  • Strong SQL and Data Warehousing concepts
  • Experience in building ETL/ELT pipelines
  • Data Lake/Data Warehouse implementation experience
  • Git/GitHub version control
  • Performance tuning and optimization of Spark applications
  • Understanding of Agile development methodologies
Good-to-Have Skills:
  • Databricks
  • Apache Airflow
  • dbt
  • Snowflake
  • Terraform
  • Kafka
  • CI/CD Pipelines
  • Docker/Kubernetes

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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