Data Engineer Databricks

• Provides assessment and estimation of effort needed based on the provided Business request form.
• Develops and delivers automated data pipelines (Extract, Transform, Load-ETL) jobs in the Data Lake within expected timelines.
• Coordinates with various support groups to accomplish assigned automated data pipes for development
• Prepares deployment package for endorsement to Release Testing Team which includes Solutions Design Document and Operations Guide.
• Provides support during the stabilization phase of pipes endorsed to production until declared BAUeview and approves builds based on the set framework, standards, and best practices.
• Documents source code.
• Other job-related activities that may be assigned from time to time.

Qualifications

• Skilled in Python (atleast 4/5 rating), SQL (atleast 3/5 rating)
• Working or has experience working on modern data cloud platforms ( Databricks/Snowflake)
• With exposure to cloud services (preferably Azure or AWS)
• Must have strong SQL & PL/SQL skills with the ability to solve highly complex challenges
• Must have good communication and interpersonal skills for interacting and collaborating with developers, analysts, and business staff throughout the organization.
• Must have the ability to communicate clearly in writing to document data requirements and translate them into technical solutions.
• Must be adept to work in a fast-paced environment with tight SLAs.