Data System Engineer

Local candidate only- must send documentation with name/address

Hybrid 3 days a week onsite

Potential to convert

The Data System Engineer will be responsible for tasks such as data engineering, data modeling, ETL processes, data warehousing, and data analytics & science. Our platform run both on premise and on the cloud (AWS/Azure). Knowledge/Skills:

Able to establish, modify or maintain data structures and associated components according to design

Understands and documents business data requirements

Able to come up with Conceptual and Logical Data Models at Enterprise, Business Unit/Domain Level

Understands XML/JSON and schema development/reuse, database concepts, database designs, Open Source and NoSQL concepts

Partners with Sr. Data Engineers and Sr. Data architects to create platform level data models and database designs

Takes part in reviews of own work and reviews of colleagues' work

Has working knowledge of the core tools used in the planning, analyzing, designing, building, testing, configuring and maintaining of assigned application(s)

Able to participate in assigned team's software delivery methodology (Agile, Scrum, Test-Driven Development, Waterfall, etc.) in support of data engineering pipeline development

Understands infrastructure technologies and components like servers, databases, and networking concepts

Write code to develop, maintain and optimized batch and event driven for storing, managing, and analyzing large volumes of structured and unstructured data both

Metadata integration in data pipelines

Automate build and deployment processes using Jenkins across all environments to enable faster, high-quality releases Qualification:

Up to 4 years of software development experience in a professional environment and/or comparable experience such as:

Understanding of Agile or other rapid application development methods

Exposure to design and development across one or more database management systems DB2, SybaseIQ, Snowflake as appropriate

Exposure to methods relating to application and database design, development, and automated testing

Understanding of big data technology and NOSQL design and development with variety of data stores (document, column family, graph, etc.)

General knowledge of distributed (multi-tiered) systems, algorithms, and relational & non-relational databases

Experience with Linux and Python scripting as well as large scale data processing technology such as spark

Exposure to Big data technology and NOSQL design and coding with variety of data stores (document, column family, graph, etc.)

Experience with cloud technologies such as AWS and Azure, including deployment, management, and optimization of data analytics & science pipelines

Nice to have: Collibra, Terraform, Java, Golang, Ruby, Machine Learning Operation deployment

Bachelor's degree in computer science, computer science engineering, or related field required