
Unlock Data Potential
1 day ago
We are seeking a skilled Data Engineer to play a pivotal role in a regulatory submission content automation initiative. This project aims to modernize and digitize the regulatory submission process by leveraging innovative technologies such as Generative AI, Structured Content Management, and integrated data.
The ideal candidate will contribute to the design, development, and implementation of scalable data pipelines, ETL/ELT processes, and data integration solutions. They will schedule and manage workflows to ensure pipelines run on time and are monitored for failures.
This is an excellent opportunity for candidates with hands-on experience with data practices, technologies, and platforms. The successful applicant will work closely with data scientists to develop pipelines that meet dynamic business needs across regions.
Requirements- Masters degree in computer science or engineering field and 0 to 1 years of relevant experience OR
- Bachelors degree in computer science or engineering field and 1 to 3 years of relevant experience OR
- Diploma and Minimum of 4+ years of relevant work experience
Candidates must have proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools. Experience with ETL tools and various Python packages related to data processing, machine learning model development is also essential.
Preferred Skills- Good understanding of data modeling, data warehousing, and data integration concepts
The ideal candidate should have excellent critical-thinking and problem-solving skills, good communication and collaboration skills, and demonstrated awareness of how to function in a team setting.
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