| Data System Engineer at Alpharetta, Georgia, USA |
| Email: [email protected] |
| From: Rahul Singh, Tek Inspirations LLC [email protected] Reply to: [email protected] Data System Engineer Client: Morgan Stanley Location: Alpharetta, GA (3 days onsite / 2 days remote per week) Need Local candidates Duration: 12+ month contract to hire Visa: GC EAD/ GC/ H4 EAD and USC only MOI: Final interview is onsite 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). 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 Qualification: 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 Experience in Collibra, Terraform, Java, Golang, Ruby, Machine Learning Operation deployment Bachelors degree in computer science, computer science engineering, or related field required Certifications on AWS or Azure Any one must MANAGER NOTES Stream data, batch data, manages framework for machine learning for ETS Hiring for a data systems engineer, will work on DevOps Cloud side Making sure that the pipeline, the codes that they have are correct They will work on data movements- could be batch or streaming, be on cloud s Exposure to design development When they do data movement or data hydration, they work with high volume data, DB2, Sybase, Snowflake Whats hydration Moving data from a source system to datalake, itll be used to move data, terabytes of data Which cloud do you prefer most Right now the platform is in AWS but they will be moving to Azure What would be the 3 top skills/forte 1) Python, Spark, Shell scripting 2) platform in Kafka and ELK/Elastic Search 3) datalake prem, using GLUE, machine learning learning part, using GLUE to move data Previous experience/ what would be an appealing resource Data engineering moving large amounts of data, using Python, have Devops experience, working with Jenkins, creating pipelines and moving the data NoSQL required They would prefer it, concept that can be taught ETL tools, Java, Golang etc. Good to have, this team doesnt to Golang and Ruby Metadata experience will be enough DB systems- DB2, SybaseIQ, Snowflake Snowflake will be helpful since its their destination database DevOps- CICS etc Yes, their team is a liaison to another team either a Jenkins related team or another team Keywords: database information technology green card Georgia Data System Engineer [email protected] |
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| Tue Oct 15 03:26:00 UTC 2024 |