<p><p><b>Job Description - AWS Data Engineer</b><br/><br/><b>Location : </b> Hyderabad / Bangalore<br/><br/><b>Job Type : </b> Contract | Work from Office (Hybrid)<br/><br/><b>Experience : </b> 5+ Years<br/><br/><b>Work Mode : </b> 5 Days (MonFri)<br/><br/><b>Shift Timings : </b> 12 : 30 PM 9 : 30 PM IST<br/><br/><b>About the Role : </b><br/><br/></p><p>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.<br/><br/><b>Key Responsibilities :</b></p><p><br/></p><p>- Design, develop, and optimize ETL pipelines using AWS Glue and PySpark.<br/><br/></p><p>- Perform data transformations, automation, and performance tuning using SQL and Python.<br/><br/></p><p>- Build and implement scalable cloud-native data solutions in AWS.<br/><br/></p><p>- Collaborate with data scientists, analysts, and architects to support business requirements.<br/><br/></p><p>- Ensure data quality, governance, compliance, and performance within an ODC environment.<br/><br/><b>Must-Have Skills :</b><br/><br/></p><p>5+ years of hands-on experience with : <br/><br/></p><p>- AWS Glue<br/><br/></p><p>- PySpark<br/><br/></p><p>- SQL<br/><br/></p><p>- Python<br/><br/><b>Good-to-Have Skills :</b><br/><br/></p><p>- Kafka Preferred (not mandatory)<br/><br/></p><p>- Kinesis Added advantage (not required)<br/><br/><b>Work Mode & Contract Days : </b> 5 Days : </b> [Specify 6/12 months, extendable]</p><br/><b>Ideal Candidate Profile :</b><br/><br/></p><p>- Strong hands-on cloud-based data engineering skills.<br/><br/></p><p>- Excellent problem-solving, debugging, and optimization expertise.<br/><br/></p><p>- Comfortable working in a hybrid 5-day setup.<br/><br/></p><p>- Strong communication and collaboration skills.<br/></p><br/></p> (ref:hirist.tech)