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The Data Services team with our Columbus, Ohio client is looking for a Senior Data Engineer on a 6 month contract to hire basis. They are looking for someone with Python, SQL, Spark, and DataBricgks. Responsibilities include building pipelines, data sets and schemas, and data optimization.

**Would prefer local to Columbus area, but open to remote as long as ET/CT time zones.

If you are a “Data Person,” who knows how to build data pipelines, aggregate data from multiple sources into a common data store and have experience with industry-leading cloud data platforms and scripting, we’d love to talk with you.

Responsibilities:

• Help support the IT organization’s data strategy in support of business customers, as well as internal initiatives.
• Work closely with IT Data Architect, Integration Engineers, Business Operations customers, and Services Partners to help advance client data and analytics ambitions.
• This role will serve as a hands-on contributor and be a thought leader in the areas of data engineering, cloud data strategy, Business Intelligence, Data Modeling and ETL/ELT.
• Work with the IT Data Engineering Team and assist in developing the next generation data and analytics infrastructure.
• Must have strong SQL modeling skills (dbt is a plus)
• Write high quality SQL code to retrieve and analyze data from database tables (primarily Databricks)
• Develop high quality SQL models for ad-hoc requests, as well as ongoing reporting / dashboarding.
• Work directly with business stakeholders to translate between data and business needs.
• Continually improve SQL models through automating or simplifying self-service support for datasets

Qualifications:

• Bachelors degree in Computer Science, Information Systems, Engineering, Data Science, or other similarly technical related field Mathematics, or specialized training/certification. Or equivalent work experience.
• 1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
• 1 – 3-year minimum experience with advanced SQL data modeling and query optimization
• Proficiency in using visualization tools such as Tableau, Domo, or Power BI.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong verbal, written & presentation skills with the ability to effectively communicate complex technical information to personnel at all levels of the organization.

Nice to Have:

• Specific experience with Data Warehouse/Data Lake configuration and development using Databricks platform.
• Experience with Tableau / Sigma Computing
• Experience operating in an Agile development environment.
• Familiarity with usage of Agile tools (JIRA / Confluence)
• Understanding of CI/CD deployment models and release strategy as well as SCM tools (Git preferred) and code management best practices.
• Experience in AWS environment.
• Experience with cloud ELT platforms such as AWS Glue, Talend Stitch, or FiveTran

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