AWS Data Engineer

We are seeking a skilled AWS Data Engineer to join our team and contribute to our ERP Migration Project. The ideal candidate will have extensive experience with AWS tools, data pipeline development, and cloud monitoring. This role involves designing, implementing, and managing large-scale data and ETL solutions, as well as working with various AWS services.

Compensation will be between 120 - 150k yearly.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Required Skills & Experience

3 - 4 years of AWS, Glue (ETL), Redshift, Lambda (Orchestration)
3 - 4 years of PowerBI
3 - 4 years of Infor M3
3 - 4 years of Python, Spark, SQL
Knowing DevOps practices - terraform and Azure DevOps
3 - 4 years of SQL Experience
3 - 4 years of ERP Experience

Nice to Have Skills & Experience
• AWS certifications: Solution Architect (SAA/SAP) or Data Analytics Specialty (DAS).
• Full life cycle project experience in building a data solution in AWS
• Understanding of common DevSecOps/DataOps and CICD processes, methodologies, and technologies.
• Strong knowledge in PySpark, Redshift store procedures, Kinesis and AWS Glue service.
Experience in working with Infor.
Legacy Stack exp with Microsoft, SQL Server, Tableau

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.