Overview
Skills
Job Details
Experience:
7+ years of hands-on experience with Databricks and data engineering.
Strong experience with Python, Scala, PySpark, and Spark SQL.
Proven experience with building ETL/ELT pipelines.
Good experience with Databricks Lakehouse and Delta Lake.
Solid understanding of data warehousing principles and designing fact and dimension tables.
Experience with Agile methodologies and DevOps processes, including CI/CD. Skills:
Proficiency in Databricks notebook development.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Ability to work in a fast-paced, dynamic environment. Preferred Qualifications:
Certification in Databricks.
Exposure with Databricks Data Mesh
Experience with other Cloud services (e.g., Azure, AWS data platforms).
Familiarity with big data technologies and distributed computing.