About this role
Our client is seeking a Senior Data Engineer to join their team. The ideal candidate will have extensive experience in managing legacy datasets, executing data cleansing tasks, and conducting query performance reviews. You will play a vital role in ensuring data integrity and optimizing performance across various data systems.
Key Responsibilities:
- Manage and maintain legacy datasets while ensuring data quality and accuracy.
- Execute data cleansing tasks to improve data reliability.
- Conduct performance reviews of queries to identify and resolve issues.
- Collaborate with cross-functional teams to understand data requirements and provide solutions.
- Design and implement data pipelines and workflows to enhance data processing efficiency.
- Stay updated on industry trends and best practices in data engineering.
Required Skills & Qualifications:
- Strong foundation in data engineering principles and methodologies.
- Proficiency in SQL and experience with data modeling.
- Familiarity with both modern and legacy data systems.
- Experience with data integration tools and ETL processes.
- Knowledge of cloud platforms such as AWS or Azure is a plus.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5 years of relevant experience in data engineering or related fields.
What we offer:
- Opportunity to work with a leading MNC in a dynamic environment.
- Potential for contract extension based on performance.
- A collaborative and innovative work culture.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.