AWS DATA ENGINEER

Job Title: AWS Data engineer

Location:

Experience:

Employment Type:

Notice Period:

CTC:

• [5–8 yrs] – Up to 21 LPA

• [8–12 yrs] – Up to 26 LPA

About the Company

Our client is a global leader in digital transformation and IT services across 50+ countries. They specialize in cloud modernization, data engineering, consulting, managed services, and enterprise-grade digital solutions. Their focus is on enabling businesses to scale efficiently and move confidently into a data-driven future.

• Design, develop, and maintain

  scalable data pipelines

  using

  AWS Databricks and PySpark

• Implement

  ETL processes

  to ingest, transform, and load large datasets
• Collaborate with data architects and business stakeholders to understand requirements and deliver robust solutions
• Optimize data workflows for

  performance, scalability, and reliability

  in AWS cloud environments
• Ensure adherence to

  data quality, governance, and security

  best practices
• Monitor, debug, and troubleshoot data pipeline issues to ensure operational stability
• Stay updated with the latest trends in

  data engineering, cloud platforms, and automation

• Provide technical guidance and mentorship to junior engineers
• Participate in Agile ceremonies and contribute to continuous improvement initiatives

Mandatory Skills

AWS Databricks

data pipelines

SQL (must-have)

✔ Experience working with large datasets and distributed processing

✔ Understanding of cloud architectures and DevOps best practices

✔ Familiarity with Git, CI/CD, and Agile delivery models

Important Note (Please Read Before Applying)

Do NOT apply if:

• You have

  less than 5 years or more than 12 years

  of total experience
• You do NOT have real-time experience in

  AWS Databricks + PySpark

• You do not have strong SQL skills
• Your notice period is

  more than 30 days

• You are looking for remote-only (role involves hybrid work mode)
• You are from unrelated backgrounds (testing-support only, non-data engineering roles, etc.)

ONLY