Data Engineer
Job Description
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
- 4-year degree in information systems, finance/mathematics, computer science, or similar field
- 2 to 3 years of experience in data engineering
- 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, programming
- Experience with DevOps models utilizing a CI/CD tool
- Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
- Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred and should be able to analyze data models
- Good interpersonal skills; comfort and competence in dealing with different teams within the organization.
- 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 and be able to work independently on complex projects
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