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



