AWS Data Engineer

Job Description – AWS Data Engineer

Location: Hyderabad / Bangalore
Job Type: Contract | Work from Office (Hybrid)
Experience: 5+ Years
Work Mode: 5 Days (Mon–Fri)
Shift Timings: 12:30 PM – 9:30 PM IST

About the Role

We are looking for an experienced AWS Data Engineer with strong expertise in AWS Glue, PySpark, SQL, and Python. This is a contract-based hybrid role where you will be responsible for designing, developing, and maintaining scalable data pipelines in a cloud-native environment.

Key Responsibilities

• Design, develop, and optimize ETL pipelines using AWS Glue and PySpark.
• Perform data transformations, automation, and performance tuning using SQL and Python.
• Build and implement scalable cloud-native data solutions in AWS.
• Collaborate with data scientists, analysts, and architects to support business requirements.
• Ensure data quality, governance, compliance, and performance within an ODC environment.

Must-Have Skills

• 5+ years of hands-on experience with:
• AWS Glue
• PySpark
• SQL
• Python

Good-to-Have Skills

• Kafka – Preferred (not mandatory)
• Kinesis – Added advantage (not required)

Work Mode & Contract Details

• Engagement Type: Contractual
• Location: Hyderabad / Bangalore
• Mode: Hybrid (part office, part remote)
• Working Days: 5 Days (Mon–Fri)
• Duration: [Specify – 6/12 months, extendable]

Ideal Candidate Profile

• Strong hands-on cloud-based data engineering skills.
• Excellent problem-solving, debugging, and optimization expertise.
• Comfortable working in a hybrid 5-day setup.
• Strong communication and collaboration skills.

How to Apply

Share your CV with the subject line:
Application – AWS Data Engineer (Hybrid | Contract)
Email: chandu.t@mlopssol.com

Job Type: Contractual / Temporary
Contract length: 12 months

Pay: ₹511,159.50 - ₹1,860,422.66 per year

Benefits:

• Provident Fund