Key responsibilities: Perform Development & Support activities for Data warehousing domain Understand High Level Design, Application Interface Design & build Low Level Design. Perform application analysis & propose technical solution for application enhancement or resolve production issues Perform Development & Deployment. Should be able to Code, Unit Test & Deploy Creation necessary documentation for all project deliverable phases Handle Production Issues (Tier 2 Support, weekend on-call rotation) to resolve production issues & ensure SLAs are met Technical Skills: Mandatory Should have very clear understanding of Data Warehousing Concepts 3+ Year Hands-on experience on Spark/Databricks 3+ Years Hands-on experience in SQL, Unix & advanced Unix Shell Scripting Experience in GIT, SVN, Build Tools like Ant, Maven etc. Hands on file transfer mechanism (NDM, sFTP etc) Knowledge of Schedulers Good to have Hands-on Experience or working knowledge of. Snowflake Working knowledge of Kafka, Ni-fi Experience of working on Cloud (AWS/Azure/GCP) Data Warehousing Environment Willingness to learn all data warehousing technologies & work out of the comfort zone in other ETL technologies (Datastage, Oracle, Mainframe etc). Hands on working experience is a plus Behavioral skills : Eagerness & Hunger to learn Good problem solving & decision making skills Good communication skills within the team, site and with the customer Ability to stretch respective working hours when necessary, to support business needs Ability to work independently and drive issues to closure Consult when necessary with relevant parties, raise timely risks Effectively handle multiple and complex work assignments, while consistently deliver high quality work
Employement Category:
Employement Type: Full time Industry: Software Product Role Category: IT Operations / EDP / MISWeb / Mobile Technologies Functional Area: Not Applicable Role/Responsibilies: Software Engineer (Databrick)