GSL Enterprise Support is a professional outsourcing and business support company founded in 2019 that helps organizations scale their operations through skilled and reliable talent. Since its establishment, the company has grown steadily and today supports its partners with a team of over 100 professionals.
About the role
The
Data Engineer
will work as part of the Data Analytics team, reporting to the Sr. Director of Marketing and Advanced Analytics. This role will work with IT and Advanced Analytics to bridge the gap between raw data infrastructure and business intelligence, build reliable pipelines, curated data models, and scalable reporting solutions.
Working Shift: 14:00 - 23:00 (Hybrid)
Duties and Responsibilities:
Build and maintain data pipelines between source data and analytical databases.
Implement and evangelize engineering best practices for sustainable and scalable delivery.
Work with solution architect, Data Modelers, BI Analysts and Product Managers to take an active role in solution design.
Help identify MVP and iterative design approach in an agile framework.
Identify necessary business rules for extracting data along with functional and technical risks related to data sources.
Develop initial Queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define path to deployment.
Required qualifications
Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Business) or equivalent practical experience.
Proven experience as a Data Engineer with a minimum of 2-3 years in a similar role.
Proficiency in data engineering tools such as SQL, Python, R, or other relevant languages.
Experience with data visualization tool (Power B).
Strong analytical and problem-solving skills with a keen attention to detail.
Excellent communication skills to convey complex data findings to non-technical stakeholders.
Self-motivated with the ability to work both independently and collaboratively in a fast-paced environment.
Skills:
Skills Required:
Python, MySQL, PySpark, NoSQL, SQL Server, Windows, Linux(Shell, API, Batch scripting), GIT, Documentation, Azure, Data Warehousing, Snowflake
Good to have:
PostgreSQL, Full Stack Web Dev, UNIX, API Development, Automation Development, MS Office tools development, PBI/Tableau/Google Analytics, DevOps Automation, Five Tran
How to apply
Please, if you feel a fit send your CV via e-mail:
info [at] gslsupport.com
About the role
The
Data Engineer
will work as part of the Data Analytics team, reporting to the Sr. Director of Marketing and Advanced Analytics. This role will work with IT and Advanced Analytics to bridge the gap between raw data infrastructure and business intelligence, build reliable pipelines, curated data models, and scalable reporting solutions.
Working Shift: 14:00 - 23:00 (Hybrid)
Duties and Responsibilities:
Build and maintain data pipelines between source data and analytical databases.
Implement and evangelize engineering best practices for sustainable and scalable delivery.
Work with solution architect, Data Modelers, BI Analysts and Product Managers to take an active role in solution design.
Help identify MVP and iterative design approach in an agile framework.
Identify necessary business rules for extracting data along with functional and technical risks related to data sources.
Develop initial Queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define path to deployment.
Required qualifications
Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Business) or equivalent practical experience.
Proven experience as a Data Engineer with a minimum of 2-3 years in a similar role.
Proficiency in data engineering tools such as SQL, Python, R, or other relevant languages.
Experience with data visualization tool (Power B).
Strong analytical and problem-solving skills with a keen attention to detail.
Excellent communication skills to convey complex data findings to non-technical stakeholders.
Self-motivated with the ability to work both independently and collaboratively in a fast-paced environment.
Skills:
Skills Required:
Python, MySQL, PySpark, NoSQL, SQL Server, Windows, Linux(Shell, API, Batch scripting), GIT, Documentation, Azure, Data Warehousing, Snowflake
Good to have:
PostgreSQL, Full Stack Web Dev, UNIX, API Development, Automation Development, MS Office tools development, PBI/Tableau/Google Analytics, DevOps Automation, Five Tran
How to apply
Please, if you feel a fit send your CV via e-mail:
info [at] gslsupport.com