What are the responsibilities and job description for the Data Engineer (Databricks) position at Affine?
- Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks
- Design and build ETL pipelines using ADF
- Build and maintain a Lakehouse architecture in ADLS / Databricks.
- Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc.
- Work with DevOps team to deploy solutions in production environments.
- Control data processes and take corrective action when errors are identified. Corrective action may include executing a work around process and then identifying the cause and solution for data errors.
- Participate as a full member of the global Analytics team, providing solutions for and insights into data related items.
- Collaborate with your Data Science and Business Intelligence colleagues across the world to share key learnings, leverage ideas and solutions and to propagate best practices.
- You will lead projects that include other team members and participate in projects led by other team members.
- Apply change management tools including training, communication and documentation to manage upgrades, changes and data migrations.
- Azure Databricks
- Azure Data Factory
- PySpark
- Spark - SQL
- ADLS
