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Data Engineer


This is a Contract position in Cobb County, GA posted September 14, 2020.

Data Engineer Kennesaw, GA 30144 8-11 month contract Not available for c2c engagements OVERVIEW Our client is seeking an experienced Data Engineer with strong SQL and Python skills for an 8-11 month contract assignment near Atlanta, GA. Our client is the leading online fabric store that specializes in fabric, patterns, and accessories. Headquartered just outside Atlanta, this Company strives to be the most trusted and inspirational fabric store in the world, providing a flawless customer experience through passion and continuous innovation. They are part of a drive to become the Earths most customer-centric company. What youll be doing As a key member of Fabrics Data team, you will work alongside a small group of Data Engineers and Data Scientists. You will help build and manage fabrics reporting and ETL infrastructure. You will work directly with business partners to gather requirements and build solutions for them. You will create ETL pipelines to support migration of data from our legacy ERP to our new ERP. You will report to the Data Engineering manager and you will become a go-to person in the organization for all things data. What were looking for We are looking for a passionate engineer who has a strong track record of building solutions to help business partners make data driven decisions. If you love building reports and systems to help business owners answer questions with data this may be the position for you. If you have experience transforming and moving data this may be the position for you. If youre a self-starter and have AWS experience, this might be your next step. RESPONSIBILITIES Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets. Build robust and scalable data integration (ETL) pipelines using SQL, Python, and SSIS. Collaborate with business partners, gathering requirements and delivering complete reporting solutions. Conduct deep dive investigations into business problems. Managing AWS resources including EC2, RDS, Redshift, etc. REQUIREMENTS Bachelor’s degree or higher in a quantitativetechnical field (e.g. Computer Science, Statistics, Engineering) 5 years relevant work experience in Business Intelligence and Data Warehousing. 5 years of hands-on experience in writing complex, highly-optimized SQL queries across large datasets. Coding proficiency in Python is required must know Python inside and out Must have SQL experience Previous experience with migrating data Demonstrated strength in Data Modeling, ETL Development, and Data Warehousing. Direct experience with a business intelligence reporting tool (Microsoft BI suite, SAP Business Objects, MicroStrategy, etc.) Direct experience with an ETL tool (SSIS, Data Integrator, etc.) Excellent written and verbal communication skills. PREFERRED SKILLS Experience building data-warehouse solutions using AWS Redshift. Experience building ETL pipelines using AWS Lambda and AWS Glue. Experience developing SSIS packages. Experience with AWS services including S3, Redshift, EMR, Quicksight, Lambda, Kinesis, and RDS Experience performing data migrations between complex systems. Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations. Experis is an Equal Opportunity Employer (EOEAA)