

Vsolutions Technologies
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include ETL, Python, SQL, and Azure. A Bachelor's degree in a technical field is required, along with experience in data integration and cloud technologies.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
October 3, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Alpharetta, GA
-
π§ - Skills detailed
#Data Warehouse #Security #Mathematics #SAP BODS (BusinessObjects Data Services) #Migration #"ETL (Extract #Transform #Load)" #Azure #Data Governance #SAP #Data Engineering #Java #Statistics #Documentation #Scala #GIT #Microservices #Data Integration #Data Migration #Azure Data Factory #BI (Business Intelligence) #SQL (Structured Query Language) #Agile #Computer Science #Data Pipeline #Virtualization #Python #Cloud #Data Architecture #ADF (Azure Data Factory) #Data Analysis #Databases #SAP BusinessObjects
Role description
Job Description:
The Senior Data Engineer will design, build, and implement data integration solutions, including data pipelines, data APl's, and ETL jobs, to meet the data needs of applications, services, micro services, data assets, business intelligence and analytical tools. Working with data architects, application development teams, data analytics teams, business analytics, product managers, and the data governance COE, the Senior Data Engineer will design and develop interfaces between applications, databases, data assets, external partners, and third-party systems in a combination of cloud and on-premises platforms.
β’ Develops and maintains scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity
β’ Designs and develop scalable ETL packages for point-to-point integration of data between source systems, extraction and integration of data into various data assets, including data warehouse and fit for purpose data repositories, both on prem and cloud
β’ Designs and develops scalable data APls to provide data as a service to microservices, applications, and analytical tool.;
β’ Designs and develops data migrations in support of enterprise application and system implementations from legacy systems Writes functional specifications for data pipelines and APls and writes and performs unit/integration tests
β’ Performs data analysis required to troubleshoot data rel3ted issues and assist in the resolution of data issues.
Skills/Experience:
β’ Bachelorβs degree in computer science, Mathematics, Statistics, or another related technical field.
β’ Experience in ETL tool, SAP BusinessObjects Data Services and MS Azure Data factory preferred Experience in Python or Java development.
β’ Experience in SQL (No-SOL experience is a plus).
β’ Preferred experience in data virtualization, Tibco Data Virtualization.
Knowledge, Skills, and Abilities
β’ Knowledge of best practices and IT operations in an always-up, always-available service
β’ Deep understanding of Cloud technologies (preferably Azure), and security and how they can be combined to design scalable cloud solutions
β’ Experience with GIT repository management tool (On prem and Cloud)
β’ Experience with or knowledge of Agile Software Development methodologies
β’ Excellent problem solving and troubleshooting skills
β’ Process oriented with great documentation skills
β’ Excellent oral and written communication skills with a keen sense of customer service
Job Description:
The Senior Data Engineer will design, build, and implement data integration solutions, including data pipelines, data APl's, and ETL jobs, to meet the data needs of applications, services, micro services, data assets, business intelligence and analytical tools. Working with data architects, application development teams, data analytics teams, business analytics, product managers, and the data governance COE, the Senior Data Engineer will design and develop interfaces between applications, databases, data assets, external partners, and third-party systems in a combination of cloud and on-premises platforms.
β’ Develops and maintains scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity
β’ Designs and develop scalable ETL packages for point-to-point integration of data between source systems, extraction and integration of data into various data assets, including data warehouse and fit for purpose data repositories, both on prem and cloud
β’ Designs and develops scalable data APls to provide data as a service to microservices, applications, and analytical tool.;
β’ Designs and develops data migrations in support of enterprise application and system implementations from legacy systems Writes functional specifications for data pipelines and APls and writes and performs unit/integration tests
β’ Performs data analysis required to troubleshoot data rel3ted issues and assist in the resolution of data issues.
Skills/Experience:
β’ Bachelorβs degree in computer science, Mathematics, Statistics, or another related technical field.
β’ Experience in ETL tool, SAP BusinessObjects Data Services and MS Azure Data factory preferred Experience in Python or Java development.
β’ Experience in SQL (No-SOL experience is a plus).
β’ Preferred experience in data virtualization, Tibco Data Virtualization.
Knowledge, Skills, and Abilities
β’ Knowledge of best practices and IT operations in an always-up, always-available service
β’ Deep understanding of Cloud technologies (preferably Azure), and security and how they can be combined to design scalable cloud solutions
β’ Experience with GIT repository management tool (On prem and Cloud)
β’ Experience with or knowledge of Agile Software Development methodologies
β’ Excellent problem solving and troubleshooting skills
β’ Process oriented with great documentation skills
β’ Excellent oral and written communication skills with a keen sense of customer service