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Job Description
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.
- 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
Qualifications
TECHNICAL SKILLS Proficiency Level Required (R) /Optional (O)
- SQL 4 R
- Relational SQL databases 3 R
- Data integrations services (SSIS, Azure Data Factory, etc.)
- 2 R
- Microsoft Excel 3 R
- Python, Scala, C++, Java or similar
- 2 O
- Snowflake or other cloud-based data warehouse
- 3 O
- NoSQL databases / unstructured data
- 2 O
- Azure cloud services
- 1 O
Additional Information
- Bachelor’s degree in computer science, MIS or related field required