#11 - DATA ENGINEER

Overview

Critical role in designing, developing and maintaining scalable data pipelines, data sets, and systems for the company’s data infrastructure. Collaborate with stakeholders to understand data requirements; develop ETL (Extract, Transform, Load) processes to transform raw data into usable formats for analysis, cost effectiveness, utilizing techniques such as partitioning, indexing, and caching; design and implement data models to support business analytics and reporting needs;

ensure data integrity, consistency, and performance; identify errors and performance issues; perform data quality checks for accuracy and consistency across systems and platforms; work closely with business analysts and software engineers to understand data needs and provide technical expertise and support. Document data pipelines, processes, and best practices for knowledge sharing and future reference; identify and resolve issues to ensure uninterrupted data flow and availability.

Relocation/telecommuting may be required plus travel to various unanticipated client locations within the United States for short- and long-term assignments.

• 3 or more of the following tools shall be utilized:
  Oracle, SQL Server, UNIX, Python, AWS, Azure, Git, Apache (Spark, Kafka, Airflow), Google Big Query. SQL, ETL, Informatica, DB2, Snowflake

Master’s degree in computer science/computer applications/engineering (Mechanical/ Information Technology/Civil/ Electrical/Electronics). Will accept a bachelor’s degree in computer science/computer application(s)/engineering (Mechanical/ Information Technology/Civil/ Electrical/Electronics) plus five (5) years of progressive experience in related fields in lieu of a master’s degree. Will accept foreign education equivalent.