Data Engineer  
Location: Remote EST hours
Duration: 12-month contract w/ potential to hire.
Pay: $65+/hr

JOB DESCRIPTION  
Our global Fortune 500 client, with U.S. headquarters in Charlotte, NC, is a world class food service provider with a strong presence across the nation. Celebrating almost 30 years in North America, this employee-focused company has received honors for diversity and inclusion, innovation, health and wellness, and company culture. CRG has successfully placed over 220 employees within the last 7 years within this organization, known for its continuous growth opportunities, fantastic benefits package, innovative technology, flexible work environment, and collaborative culture.

We are re-starting an SAP migration project to move from ECC to S/4 HANA. In this role, you will be focused specifically on this project and working with a small team of other dedicated resources such as a business analyst, BI report developer, and data modeler to ensure existing reports can use the new S/4 data and also build net new reports that the business needs. Also, you will work in a broader SAFe agile team and ensure that work assigned to this squad is completed on time per the project plan. Technology will be varying in this project. The older ECC data is ingested via IBM’s DataStage ETL tool and stored in Redshift. The current plan for S/4 data will have it ingested via Fivetran into Snowflake.
RESPONSIBILITIES 

• Work across multiple teams, such as project managers, SAP Basis, architecture, and business users.
• Define, build, test, and implement data pipelines for S/4 and ECC tables into Snowflake.
• Monitor pipeline performance and cost efficiency.
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Collaborate with analytics and reporting teams to ensure reporting requirements are met.

QUALIFICATIONS

• W2 only, no C2C
• 4+ years in an ETL or Data Engineering roles; building and implementing data pipelines and modeling data.
• Experience with SAP data and data structures.
• Very strong skills with SQL with the ability to write efficient queries.
• Familiarity with Fivetran for replication.
• Experience managing Snowflake instances, including data ingestion and modeling.
• Experience with IBM DataStage is a plus.
• Highly self-motivated and directed with an attention to detail.
• Persuasive and professional communication skills (presentations, documentation, and emails).