Data Engineer

As a Data Engineer will support the Enterprise Data Organization in building and managing the data pipeline (data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platforms. You will possess strong technical, analytical, programming, and critical thinking skills. RESPONSIBILITIES Design, develop, and maintain reliable automated data solutions based on the identification, collection, and evaluation of business requirements.

This includes, but is not limited to, data models, database objects, stored procedures, and views. Develop new and enhance existing data processing components (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) Support and troubleshoot the data environment (including periodically on call) Document technical artifacts for developed solutions Interface with multiple constituent groups and build sustainable relationships Experience with Agile practices and methodologies EDUCATION AND EXPERIENCE QUALIFICATIONS 4-year degree in information systems, finance/mathematics, computer science, or similar field 2 to 3 years of experience in data engineering REQUIRED KNOWLEDGE, SKILLS, OR ABILITIES Advanced SQL queries, scripts, stored procedures, materialized views Focus on ELT to load data into database and perform transformations in database Ability to use analytical SQL functions Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, p