Senior Data Engineer

Responsibilities

• Conceptualizes and generates infrastructure that allows big data to be accessed and analyzed.
• Partners with various departments to understand and incorporate standards information and requirements into work procedures.
• Deploys machine learning algorithms in production environments.
• Solves application programming analysis problems of moderate to complex scope within procedural guidelines.
• May seek assistance from the supervisor or more skilled programmers/analysts on unusual or especially complex problems that cross multiple functional/technology areas.
• Works on complex data and analytics-centric problems having moderate impact that require in-depth analysis and judgment to obtain results or solutions.
• Plans work to meet assigned general objectives; progress is reviewed upon completion and solutions may provide an opportunity for creative/non-standard approaches.
• Communicates (oral and written) recommendations.
• Mentors/provides guidance to less experienced colleagues.

Qualifications

• Minimum 5 years of experience with data engineering/ETL ecosystem, such as Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE.
• Experience with Snowflake and Microsoft Fabric.
• Experience with machine learning algorithm deployment.
• Business Intelligence and data access tool knowledge.
• Knowledge of software engineering principals such as unit testing, CI/CD, source control.