About this role
The team is seeking a skilled Data Engineer to join their dynamic team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure that support data analytics and business intelligence initiatives. You will work closely with data scientists and analysts to ensure the availability and reliability of data for decision-making processes.
Key Responsibilities:
- Develop and implement data models and ETL processes to facilitate data integration and transformation.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Optimize data storage and retrieval processes to improve performance and efficiency.
- Monitor and troubleshoot data pipeline performance and resolve issues as they arise.
- Ensure data quality and integrity through rigorous testing and validation processes.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions and databases like SQL, NoSQL, or Hadoop.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data modeling techniques and best practices.
- Strong analytical and problem-solving skills, with attention to detail.
Experience:
- Minimum of 5 to 8 years of experience in data engineering or related fields.
What we offer:
- Opportunity to work with cutting-edge technologies in a collaborative environment.
- Professional development and growth opportunities.
- A supportive team culture that values innovation and creativity.
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.