Senior Data Engineer – Databricks

Posted 38ds ago

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Job Description

Senior Data Engineer developing and deploying Databricks in a cloud environment at EY. Collaborating with teams to manage project timelines and deliverables while optimizing model codes.

Responsibilities:

  • Develop & deploy Databricks in a cloud environment
  • ETL design, development, and deployment to Cloud Service
  • Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams
  • Design and optimize model codes for faster execution
  • Collaborate with cross-functional teams to manage project timelines and deliverables

Requirements:

  • 3 to 5 years of experience in Python (Classes, functions, modules, debugging, error handling)
  • Strong experience in SQL (Joins, subqueries, window functions, CTEs, stored procedures)
  • Knowledge of (RDD, DataFrames, Spark SQL) – good to have
  • Experience working with at least one cloud platform (AWS/Azure/GCP)
  • Foundation-level certification in cloud technologies (preferred: Azure Data Engineer Associate, AZ 900, DP 900, AWS Cloud Practitioner, GCP Cloud Digital Leader)
  • Essential DevOps practices like commits, pull requests, code versioning etc
  • Good understanding of data Lakehouse concepts
  • Strong communication and problem solving skills

Benefits:

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options