Experience:- 8 to 11 Years

Skillsets we are looking for:
8 to 11 years of working experience in Data Engineering.
6+ years experience in PySprak.
5+ years experience in AWS Glue.
5+ years experience in AWS Redshift.
5+ years exp in AWS CI/CD pipeline like code build, code commit, code deploy and code pipeline.
Experience in ETL tools.
Solid proficiency in AWS services such as S3, EC2, EMR, SNS, Lambda, Step Functions and Event bridge.
Experience implementing automated testing platforms like PyTest.
Solid proficiency in Python, Hadoop, Spark and or PySpark is required.
Skill of writing clean, readable, commented and easily maintainable code.
Understanding of fundamental design principles for building a scalable solution.
Skill for writing reusable libraries.
Proficiency in understanding code versioning tools such as Git, SVN, TFS etc.,
Bachelors degree or higher.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Cloud Data Lead Hubballi
🏢 TriOptus
📍 Hubballi