More jobs:
Job Description & How to Apply Below
Responsibilities
- Utilize Python notebooks, SSIS, Fabric builds, Power BI, and other data engineering tools to cleanse and transform data.
- Develop and implement data quality processes to monitor and improve data integrity.
- Collaborate with cross‑functional teams to define data quality standards and best practices.
- Optimize data cleansing pipelines for efficiency and scalability.
- Proven experience in data engineering, specifically in data cleansing and quality assurance.
- Proficiency in Python notebooks, SSIS, Fabric builds / Power BI, and equivalent data engineering tools.
- Strong understanding of data quality principles and best practices.
- Excellent problem‑solving skills and attention to detail.
- Ability to work both independently and collaboratively in a fast‑paced environment.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×