Data Engineer Level 2

4 weeks ago


Dublin, Ohio, United States United Software Group Full time
Job Summary:

We are seeking a highly skilled Data Engineer to join our team at United Software Group. As a Data Engineer, you will be responsible for designing and developing Azure solutions, implementing automated unit and integration testing, and collaborating with architecture and lead engineers to ensure consistent development practices.

Key Responsibilities:

Design and develop Azure solutions
Implement automated unit and integration testing
Collaborate with architecture and lead engineers to ensure consistent development practices
Participate in retrospective reviews
Participate in the estimation process for new work and releases
Collaborate with other engineers to solve and bring new perspectives to complex problems
Drive improvements in data engineering practices, procedures, and ways of working
Embrace new technologies and an ever-changing environment

Requirements:

5+ years proven ability of professional Data Development experience
3+ years proven ability of developing with Azure and SQL (Oracle, SQL Server)
3+ years of experience with PySpark/Spark
2+ years of experience in Azure Data Factory and/or Azure Databricks
Experience in working with large-scale data sets and distributed systems
Full understanding of ETL concepts and Data Warehousing concepts
Exposure to version control software (Git, GitHub SaaS)
Strong understanding of Agile Principles (Scrum)
Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

Bonus Points for experience in the following

Proficient with Relational Data Modeling
Understanding of Data Mesh Principles
Experience with CI/CD - Continuous Integration/Continuous Delivery
Experience with Python Library Development
Experience with Structured Streaming (Spark or otherwise)
Experience with Kafka and/or Azure Event Hub
Experience with Github SaaS / Github Actions
Experience with Snowflake and Databricks
Exposure to Service Oriented Architecture
Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)

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