About this role
The team is seeking a Senior Data Engineer with expertise in Data Architecture, Modeling, and Modern Data Warehousing to join their innovative team. This role involves designing and implementing robust data solutions that enable the organization to leverage data effectively for business transformation.
Key Responsibilities:
- Develop and maintain scalable data architectures to support data integration and analytics.
- Design and implement data models that meet business requirements and improve data quality.
- Collaborate with cross-functional teams to understand data needs and deliver effective solutions.
- Optimize data pipelines and workflows to enhance performance and efficiency.
- Ensure data governance and compliance with industry standards.
- Mentor junior data engineers and contribute to their professional development.
Required Skills & Qualifications:
- Strong experience in data engineering, data modeling, and data warehousing concepts.
- Proficiency in SQL, Python, and data pipeline tools such as Apache Airflow or Talend.
- Familiarity with cloud platforms like AWS or Azure and their data services.
- Experience with ETL processes and data integration techniques.
- Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5-8 years of relevant experience in data engineering or a similar role.
What we offer:
- An opportunity to work with cutting-edge technologies in a dynamic environment.
- A collaborative culture that encourages innovation and professional growth.
- The chance to make a significant impact on business outcomes through data-driven 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.