Description

Engineer data processing and analytics solutions on the Databricks platform within AWS.

This role is on-site.

Responsibilities

• Develop and maintain data manipulation workflows using PySpark.
• Process large datasets efficiently with Apache Spark and Delta Lake.
• Design and implement data warehousing solutions and data modeling techniques.
• Build and optimize ETL pipelines for data extraction, transformation, and loading.

Required Skills

• 5+ years of hands-on experience with the Databricks platform.
• Proficiency in PySpark and Apache Spark.
• Proven experience with AWS cloud services.
• Strong understanding of Data Modeling and Data Architecture principles.
• Experience with ETL processes and Data Warehousing.
• Familiarity with Big Data and Cloud Computing concepts.

Key Skills

Education

Any Graduate