RTA US
Cloud Data Engineer
RTA US, Alpharetta, Georgia, United States, 30239
Job DescriptionJob Description
Job Title
: Data Systems Engineer
Location:
Alpharetta, GA
Pay range:
$65-$78/hr. on W2
Duration:
12 Months (Potential to convert)
About the role:
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
Pride Global/ Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors
.
If you're interested, please don't hesitate to contact me at 929-506-1002 or email me at manishkumar.singh@russelltobin.com
**Your next career move starts here - Apply today!
#CB
#LI-MS12**
Job Title
: Data Systems Engineer
Location:
Alpharetta, GA
Pay range:
$65-$78/hr. on W2
Duration:
12 Months (Potential to convert)
About the role:
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
Pride Global/ Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors
.
If you're interested, please don't hesitate to contact me at 929-506-1002 or email me at manishkumar.singh@russelltobin.com
**Your next career move starts here - Apply today!
#CB
#LI-MS12**