Senior AWS Data Engineer, Atlanta – remote – United States
Syntax is a leading Managed Cloud Provider for Mission Critical Enterprise Applications and has been providing comprehensive technology solutions to businesses of all sizes since 1972. Syntax has undisputed strength to implement and manage ERP deployments (Oracle, SAP) in a secure, resilient, private, public or hybrid cloud. With strong technical and functional consulting services, and World Class Monitoring & Automation, they serve some of North America’s largest corporations across a diverse range of industries. Syntax has offices worldwide, and partners with Oracle, SAP, AWS, Microsoft, IBM and other global technology leaders.
We’re looking for a passionate data engineer who is well versed in AWS cloud technologies for ETL modeling, data warehouse and data lake design/building and data movement to join our expanding BI and Data Analytics team! This individual will be responsible for supporting existing data warehouse customers, as well as performing a senior lead role for new projects to implement various data solutions in AWS. The position can be remote or in the Atlanta, GA area. Someday in a post-Covid future, a minimal amount travel may be required for this position.
Applicants for this role must be proficient data engineering experts already experienced in AWS cloud technologies such as: Python, Spark/PySpark, Glue, Redshift, S3, RDS and data movement (DMS/Kinesis). Data visualization skills in Tableau or AWS QuickSight are a plus, but not required. This team members works primarily with AWS data analytics technologies for existing projects and support customers, but also will need to regularly keep up with the ever emerging and evolving landscape of AWS data offerings.
Resource on various client engagement projects to implement and deliver custom data warehousing solutions
Help desk, trouble ticket support for our existing data warehouse Managed Services customers
Minimum two years of hands-on AWS data technology experience
Python, Spark/PySpark, Glue, Redshift, S3, RDS and data movement (DMS/Kinesis)
Is well versed with the best practices of creating an AWS Well-Architected Environment with the Analytics Lens
AWS Certified Cloud Practitioner (Preferred, not required)
AWS Data Analytics Specialty Certification (Preferred, not required)
Possesses fantastic troubleshooting skills and ability to systematically break down problems to resolve issues and reach solutions
Prolific documentation author
Accountable to drive deliverables towards completion
Possesses an ethos of always striving for improvement and growth
Exposure to cloud-based and SaaS data warehouse solutions
Experience with JD Edwards and SAP as a data source is a plus, but not required
Must possess an ethos of always striving for improvement and growth, and desire to flourish in an engaging, creative, hard-working, fun-loving corporate culture environment!
Needs to be willing to constantly reinvent who they are to learn new technologies and approaches. Must push beyond their current skillset and limitations. Must love to learn and experiment. And not be afraid to make mistakes.
The most successful candidates will regularly employ the RTFM, GIYF and JFGI approaches to learning and problem solving. Willingness to teach colleagues and knowledge sharing are mandatory in our work environment.
You must be legally entitled to work in Canada and/or in the U.S. We are unable to sponsor at this time.