Data System Engineer

About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee's voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Data System Engineer

Job Description

• Location: Alpharetta, Georgia
• Type: Contract
• Job #80375

Our client, a leading financial services company is hiring a Data Systems Engineer on a contract basis.
Job ID#: 80375

Work Location: Alpharetta, GA

Summary:
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 teams 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

Qualifications:

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
• Bachelors degree in computer science, computer science engineering, or related field required