Description

You will engineer and maintain data solutions within the Azure ecosystem.

Responsibilities

• Implement ETL processes for Data Warehouse and Business Intelligence solutions.
• Structure Data Lakes for performance, security, and reliability using Azure Data Lake Storage.
• Develop and maintain modular, parameterized code adhering to established standards.
• Perform root cause analysis on data and processes to address business questions and find improvements.

Required Skills

• 10+ years of data engineering experience.
• Expertise with Spark, PySpark, and Apache Spark.
• Strong proficiency in Python and Scala.
• Experience with Azure Data Factory, ADLS Gen 2, Databricks, and Synapse.
• Knowledge of Data Lake implementation best practices.
• Understanding of CI/CD and DevOps processes.
• Experience building and maintaining ETL frameworks.
• Familiarity with SQL Server and Snowflake.

Preferred Skills

• Experience with Logic Apps and Azure Functions.
• Understanding of Infrastructure as Code fundamentals.

Key Skills

Education

Bachelor's degree