About this role
The team is seeking a Senior Data Engineer who is passionate about leveraging data to drive impactful business decisions. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support advanced analytics and AI initiatives.
Key Responsibilities:
- Develop and optimize data models and ETL processes to ensure high-quality data availability.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs.
- Implement data governance and security measures to protect sensitive information.
- Monitor and troubleshoot data pipeline performance, ensuring reliability and efficiency.
- Stay updated with the latest industry trends and technologies to continuously improve data engineering practices.
Required Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with data warehousing solutions, preferably Snowflake or similar platforms.
- Strong knowledge of SQL and database management systems.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Excellent problem-solving skills and a proactive approach to challenges.
Experience:
- Minimum of 5-8 years of experience in data engineering or related fields.
What we offer:
- An opportunity to work in a dynamic and innovative environment.
- The chance to collaborate with a diverse team of experts.
- Professional development and growth opportunities.
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.