About this role
The team is seeking a Senior Data Engineer to join their team. In this role, you will be responsible for designing, implementing, and maintaining data pipelines and architectures that support data analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible and usable for decision-making purposes.
Key Responsibilities:
- Design and develop scalable data pipelines to process large datasets.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Optimize and maintain existing data architectures and workflows.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Implement best practices for data governance and security.
- Stay updated with the latest data engineering trends and technologies.
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 a related role.
- Proficiency in SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
- Experience with data modeling and ETL processes.
- Strong programming skills in languages such as Python or Java.
What we offer:
The team provides a dynamic work environment with opportunities for professional growth and development. You will be part of a diverse team that values collaboration and innovation, and you will have the chance to work on impactful projects that contribute to sustainable solutions.
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.