Description

You will own the design, development, and maintenance of scalable data pipelines and integrations.

Responsibilities

• Design and develop scalable ETL packages for data integration between source systems and data assets, including cloud and on-prem data warehouses.
• Develop scalable data APIs to serve data to microservices, applications, and analytical tools.
• Design and implement data migrations from legacy systems during enterprise application rollouts.
• Write functional specifications for data pipelines and APIs, and perform unit/integration testing.
• Perform data analysis to troubleshoot and resolve data-related issues.

Required Skills

• 5+ years of related experience with a Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field.
• 5+ years of experience utilizing ETL tools and cloud technologies such as Azure Data Factory or Informatica.
• 3+ years of experience with Matillion and/or Snowflake.
• Experience in data profiling, data analysis, and building Data Quality metrics.
• Experience building ETL processes to move data from disparate source systems into data lakes and dimensional models.
• Expertise in SQL against relational and cloud data structures.
• Experience in reference data management tools like EBX or Informatica MDM.
• Knowledge of Agile Software Development methodologies.
• Strong problem-solving, documentation, and communication skills.

Key Skills

Education

Bachelor's degree