Cloud Data Engineer

Solution Design Group • Fulltime • Minneapolis, MN, USA, United States • 6m ago

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team.

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing Data Practice. This person will work closely with our customers to manage, transfer, manipulate, or integrate data to ensure exceptional performance for their business. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development amongst top technical talent. SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of cloud data integration tools and cloud data warehousing. A successful Data Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.

SDG’s Data Developers have proven experience with the following responsibilities. If you do too, we want to hear from you:

Design and development of relational and non-relational databases, data warehouses and data lakes using databases such as SQL Server, PostgreSQL, MySQL, Snowflake, AWS Aurora, AWS RDS, AWS DynamoDB, Azure SQL, Azure CosmosDB, AWS Redshift, AWS Lake Formation and Azure Synapse Analytics
Development, monitoring, and maintenance of data integration and processing tools and pipelines using tools such as SSIS, Databricks, AWS Glue, AWS Dataspider and Azure Data Factory
Design and testing of machine learning and data science tools, including the integrating and deployment of data models using languages such as Python and R and tools including AWS Jupyter Notebooks
Implementation of high-capacity, real-time data streaming technologies using tools such as AWS Kinesis and Azure Event Hub
Data analysis and visualization tools including tools such as Tableau, PowerBI, AWS Athena, Azure Data Lake Analytics
Leveraging non-database data storage alternatives to maximize performance, costs and data quality including storage solutions such as AWS S3
Familiarity with security and security policies within AWS and Azure

Requirements:

3+ years of professional data development experience
Experience delivering solutions in large scale enterprise environments
Experience with Public Cloud Providers such as AWS and Microsoft Azure
Prior consulting or professional services experience is a bonus
Education degree or certification in Computer Science, or the equivalent related work experience

What’s in it for you?

Full-time salaried consultant position
A true stake in success. SDG is an ESOP - 100% employee owned
Star Tribune Top Workplace winner the last 6 consecutive years
National Top Workplace in 2023
Engaged teammates who care about quality solutions
Challenging and rewarding work with great customers
Various opportunities to give back to the community
Be amongst some of the best technologists in the industry
Dedicated to our core values of superior customer service, exceptional employee experience, and responsible corporate citizenship
Opportunities to connect with other SDGer’s via internal communities, committees, and events – virtually and in person

Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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