About this role
Our client is seeking a Senior Data Engineer to join their dynamic team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines and architectures that support analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible and reliable.
Key Responsibilities:
- Design and develop scalable data pipelines to process large volumes of data.
- Collaborate with cross-functional teams to gather requirements and deliver data solutions.
- Optimize and maintain existing data architectures and workflows.
- Implement data quality checks and monitoring solutions.
- Stay updated with industry trends and best practices in data engineering.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data storage solutions like SQL, NoSQL, or cloud-based databases.
- Familiarity with data processing frameworks such as Apache Spark or Hadoop.
- Knowledge of ETL tools and data integration techniques.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Experience:
- 5-8 years of experience in data engineering or a related field.
What we offer:
Our client provides a collaborative work environment, opportunities for professional growth, and the chance to work with cutting-edge technologies in the financial sector.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.