Data Engineer Modelling Design Python Spark Apply
Job Id: 3261 L3
Duration: 12 Months
Location: Alpharetta GA
Title: Data Engineer, Modelling, design, integration, Python, Spark, DB2, NoSQL, Jenkins 12 mths Alpharetta GA
Description:
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
