Data Engineer

Responsibilities:

• Organize and build data stories from long-term data storage.
• Design, plan, and implement data infrastructure and products.
• Model complex data relationships in accessible ways.
• Software quality process/assurance, including automated testing, design and code review, code profiling, and continuous integration and deployment methodologies.
• Work with both relational and document databases.
• Work with a team of engineers to build and deploy scalable and reliable systems.
• Write clean, maintainable code and follow best practices.
• Troubleshoot and resolve production incidents.

Requirements:

• 2+ years of professional experience in data engineering.
• Ability to observe and model complex data relationships in accessible ways.
• Has the ability to author and maintain applications in C#.
• Experience consuming and building robust APIs.
• Experience with SQL, NOSQL, JSON, MongoDB, or CouchDB.
• Experience with data processing pipelines and streaming tools like Kafka or Spark.
• Experience setting up data warehouses or lakes in either MongoDB, AWS Redshift, or Snowflake.
• Team player with the ability to articulate thoughts and opinions but also listen and compromise.
• Able to adapt and embrace change and support business strategy and vision.

Preferred Experience:

• Familiarity with Linux and basic shell commands.
• Experience with AWS Services.