Senior Data Engineer - job 9 of 50

Job Summary

A company is looking for a Senior Data Engineer to lead the design, development, and optimization of scalable data pipelines.

Key Responsibilities

• Build and optimize distributed data processing jobs using Apache Spark on Databricks
• Design and automate ETL pipelines and integrate data from diverse sources
• Develop dimensional models and ensure efficient querying and transformation using SQL and PySpark

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of experience in data engineering with at least 2 years on Databricks
• Proficiency in Python, Scala, SQL, and Spark
• Hands-on experience with Azure Data Services
• Strong understanding of ETL, data warehousing, and data modeling concepts