Job Title : AWS Data engineer
Location : PAN India (Hybrid)
Experience : 5–12 Years (STRICTLY)
Employment Type : Permanent
Notice Period : Immediate Joiners
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.
Job Description
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
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.)
✅ Apply ONLY if you meet ALL the above criteria. Irrelevant applications will not be processed.
Seniority Level
Mid-Senior level
Industry
IT Services and IT Consulting
Employment Type
Full-time
Job Functions
Information Technology
Skills
SQL
Amazon Web Services (AWS)
Extract, Transform, Load (ETL)
Engineering
Git
Data Engineering
Cloud Computing
Software Development
HTML
Test Automation
Screening questions
Required qualifications
How many total years of hands-on experience do you have in Data Engineering? (Must be between 5–12 years)
Ideal Answer : Yes
Do you have real-time project experience with AWS Databricks and PySpark? Yes / No
Ideal Answer : Yes
Are you confident with writing complex SQL queries and working with large datasets? Yes / No
Ideal Answer : Yes
Have you independently developed or contributed to data pipelines using Databricks + AWS? Yes / No
Ideal Answer : Yes
Are you comfortable working in a Hybrid model across PAN India locations? Yes / No
Ideal Answer : Yes
What is your current notice period? (Only Immediate / ≤ 30 days acceptable)
Ideal Answer : Yes
Aws Engineer • Aligarh, Uttar Pradesh, India