Shift: Mid Shift

Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position will help support the data engineering needs across a growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud based technologies: Databricks, Snowflake, Spark, Python and Azure Data Factory. As a key member of the Strategic Analytics team, you will advance our data engineering capabilities helping the team analyze data faster

Responsibilities:

• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness

Required Skills:

• Advanced working SQL knowledge and experience working with relational databases, query authoring, Data Integration Services (SSIS), Microsoft Excel
• Ideally, 3+ years of experience in a Data Engineer role or equivalent using SQL
• Experience with cloud technologies and Python is a plus

Education:

• BS in Computer Science, Information Technology degree, Data Analytics or equivalent

Please refer to job description.