Full Time
Start Date
Immediate
Expiry Date
20 Dec, 26
50000.0
Posted On
21 Sep, 26
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Information Services
Description
Specifically, you can expect to be involved in the following:
- Design and develop scalable ETL and ELT pipelines across operational, analytical, and AI data environments.
- Build robust SQL and Python-based data solutions for production use.
- Develop and enhance data models that support analytics, machine learning, and customer insight initiatives.
- Contribute to CI/CD processes, deployment automation, and version-controlled engineering practices.
- Collaborate with data scientists, product teams, and engineers to deliver reliable and scalable solutions.
- Implement monitoring, validation, data quality controls, and governance processes.
- Support the integration of machine learning outputs into production environments.
- Mentor colleagues and contribute to engineering standards, documentation, and best practice development
Responsibilities
Specifically, you can expect to be involved in the following:
- Design and develop scalable ETL and ELT pipelines across operational, analytical, and AI data environments.
- Build robust SQL and Python-based data solutions for production use.
- Develop and enhance data models that support analytics, machine learning, and customer insight initiatives.
- Contribute to CI/CD processes, deployment automation, and version-controlled engineering practices.
- Collaborate with data scientists, product teams, and engineers to deliver reliable and scalable solutions.
- Implement monitoring, validation, data quality controls, and governance processes.
- Support the integration of machine learning outputs into production environments.
- Mentor colleagues and contribute to engineering standards, documentation, and best practice development
#J-18808-Ljbffr