About this role
The team is seeking a Senior Data Engineer who is passionate about leveraging data to drive business decisions and enhance operational efficiency. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics and reporting functions.
Key Responsibilities:
- Design and implement robust data processing systems and ETL pipelines.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Optimize data storage and retrieval processes for performance and scalability.
- Monitor and troubleshoot data-related issues, providing timely resolutions.
- Stay updated with the latest industry trends and technologies to continuously improve data engineering practices.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5-8 years of experience in data engineering or related roles.
- Proficiency in SQL and experience with data warehousing solutions (e.g., Snowflake, Redshift).
- Strong programming skills in languages such as Python or Java.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
- Familiarity with data modeling, data governance, and data security best practices.
What we offer:
The team provides a dynamic work environment that fosters innovation and collaboration. You will have the opportunity to work with cutting-edge technologies and be part of a team that values your contributions. Additionally, the team offers professional development opportunities to help you grow in your career.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.