AWS Data Engineer

Skills

Description

10+ years of hands-on experience in the below technologies:
Strong knowledge in Snowflake architecture and concepts.
Strong working experience in Snowflake using warehouses, stored procedures, streams, snow pipes, tasks, stages, storage integration, ingestion frameworks and tools etc.
Strong working experience in developing ELT/ETL Oracle SQL, PL/SQL.
Hands on development Experience in Python, Groovy, Power BI, and Shell Scripting is a plus.
Familiarity with analytical tool OBIEE is good to have.
Experience working with cloud technologies and building solutions using AWS services such as Lambda,S3, Athena, EMR is strongly preferred. Knowledge of Azure is good to have.
Strong working experience using Python and other scripting languages (shell etc.) and OOPs concepts.
Good hands-on experience on scheduling tools such as Airflow, Control M, Autosys scheduling tools.
Working knowledge of Continuous Integration and Continuous Delivery using tools like Github, Maven, Jenkins and uDeploy and experience establishing, promoting, and adapting good engineering practices.
Strong hands-on experience with requirements gathering analysis, coding, testing, implementation, maintenance, and review.
Possessing outstanding technical and analytical skills with strong business knowledge.
Solid experience with application support & resolving production issues.
Ability and willingness to take initiative and ownership, to work both independently and with teams.
Strong communication, clear articulation, and ability to build and maintain effective working relationships.