8 Yrs Exp

6 days ago

Bangalore Karnataka, India Neorealm Full time

Role Overview We are seeking a hands-on Python AWS Data Engineer to design develop and maintain robust ETL pipelines and cloud-based data solutions The ideal candidate will have strong expertise in Python Spark SQL and AWS services with experience in building scalable data pipelines implementing data transformations and ensuring high-quality maintainable code You will collaborate closely with data architects analysts and business stakeholders to enable data-driven decision-making while working in an Agile environment Key Responsibilities Design develop and maintain ETL pipelines using Python Spark and AWS services Build test debug and document Python and Spark applications Work with AWS services including S3 ECS Lambda Glue DynamoDB SQS SNS IAM and Athena Write and optimize SQL queries joins and stored procedures for relational databases Implement unit tests and validation using Pytest or Unittest frameworks Collaborate with DevOps teams to maintain CI CD pipelines using Git Jenkins Bamboo Ensure scalability performance and reliability of data pipelines Participate in Agile ceremonies and contribute to sprint planning code reviews and retrospectives Document solutions data flows and ETL transformations for knowledge sharing and compliance Requirements Required Skills Experience 3-8 years of hands-on experience in Python Spark SQL and ETL development Strong experience with AWS cloud services and cloud-native data solutions Proficiency in ETL architecture and pipeline design Experience with unit testing frameworks like Pytest and Unittest Solid understanding of RDBMS SQL queries joins stored procedures Exposure to CI CD and build automation tools Git Jenkins Bamboo Familiarity with Bitbucket GitHub Jira Splunk PostgreSQL is a plus Excellent verbal and written communication skills Ability to work in Agile Scrum environments Investment Management domain knowledge is an added advantage Benefits Why Work With Us Empowering innovators to build the future of digital enterprise Work on high-impact data engineering projects using cutting-edge cloud technologies Collaborative growth-focused environment that values innovation and ownership Competitive pay hybrid work flexibility and exposure to enterprise-scale data platforms

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