Data Engineer Lead

What You Will Do

• Design and implement complex data solutions, architecting data systems, and driving technical initiatives.
• Optimize data infrastructure for performance, scalability, and reliability – working with large-scale data volumes & distributed systems.
• Modify existing structured and unstructured data integration solutions for rapidly evolving business needs.
• Collaborate with a cross-functional team to resolve data quality and operational issues, as  well as delivering solutions to meet business needs.
• Participate with end users to gather requirements and consult on data integration solutions.
• Design, build, and optimize data pipelines, ETL processes, and data infrastructure in the field.
• Provide technical guidance and support to ensure the successful delivery of data projects, including troubleshooting and resolving technical challenges.

What You Will Need

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related fields.
• 5+ years of experience in data engineering, software engineering, or a similar role.
• Expertise in programming languages such as Python, Java, or Scala.
• Advanced knowledge of SQL, database management systems, and data warehousing concepts.
• Extensive experience with big data technologies and distributed systems.
• Proven track record of designing and implementing complex data pipelines and ETL processes.
• Deep understanding of cloud-based data technologies and best practices.
• Leadership abilities to mentor junior team members and lead technical initiatives.
• Strong problem-solving and troubleshooting skills.
• Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.