Data Engineer (ETL & Control M)

Responsibilities:Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views.Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.Support and troubleshoot the data environment (including periodically on call)Document technical artifacts for developed solutions.Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships.Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills.Proactive approach to problem solving with effective influencing skills.Familiar with Agile practices and methodologies.Education and Experience Qualifications:Four year degree in Information Systems, Finance/Mathematics, Computer Science or similar2-4 years of experience in Data Engineering.Required Knowledge, Skills or Abilities:Mandatory:Advanced SQL queries, scripts, stored procedures, materialized views, and views.Focus on ELT to load data into the database and perform transformations in the database.Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required.Data modeling, analysis, and programming (Python) are a must.Talend, Apache Airflow, Azure Data Factory, Control - M or any orchestration tools.Good to have:Experience with DevOps models utilizing a CI/CD tool.Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)Analyze data models ATS