Data System Engineer

Our client, a leading financial services organization is seeking a Data System Engineer who will be responsible for tasks such as data engineering, data modeling, ETL processes, data warehousing, and data analytics & science.

Their platform runs 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
• Partners with Sr. Data Engineers and Sr. Data architects to create platform level data models and database designs
• 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
• Able to participate in assigned team’s software delivery methodology (Agile, Scrum, Test-Driven Development, Waterfall, etc.

in support of data engineering pipeline development

• Has working knowledge of the core tools used in the planning, analyzing, designing, building, testing, configuring and maintaining of assigned application(s)
• Write code to develop, maintain and optimized batch and event driven for storing, managing, and analyzing large volumes of structured and unstructured data both
• Understands infrastructure technologies and components like servers, databases, and networking concepts
• Metadata integration in data pipelines
• Automate build and deployment processes using Jenkins across all environments to enable faster, high-quality releases

Qualification :

• 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 (Snowflake preferred)
• 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
• Bachelor’s degree in computer science, computer science engineering, or related field required
8 days ago