*Candidates must complete a background check upon offer* 

Responsibilities
* As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.
* You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data.
• Design, build, and maintain scalable, reliable, and reusable data pipelines and infrastructure that support analytics, reporting, and strategic decision-making.
* You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards
* You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
• Explore source systems, data flows, and business processes to uncover opportunities, ensure data accuracy and completeness, and drive improvements in data quality and usability.

Required Skills & Experience
- 7+ years of related experience.
- Experience with data modeling, warehousing and building ETL pipelines
- Strong experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java.
- Strong analytical skills, with the ability to translate business requirements into technical data solutions.
- Excellent communication skills, with the ability to collaborate across technical and business teams.
- A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.

Preferred
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- 3+ years of reparation of data for direct use in visualization tools like Tableau experience