Data Engineer

A financial firm is looking for aData Engineer to join their team inAlpharetta, GA.

Pay: $69/hr
Hybrid - 3 days per week onsite

Responsibilities:
• 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
• Work 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
• 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

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.)
• 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

24-03837