Job description 

We are seeking an experienced Lead Data Engineer to join our dynamic team.

As a Lead Data Engineer, you will be responsible for designing, developing, and maintaining data integration solutions for our clients. You will lead a team of engineers to ensure the delivery of high-quality, scalable, and performant data integration solutions.

This is an exciting opportunity for a seasoned data integration professional passionate about technology and who thrives in a fast-paced, dynamic environment.

#LI-DNI

Responsibilities

• Design, develop, and maintain data integration solutions for clients
• Lead a team of engineers to ensure the delivery of high-quality, scalable, and performant data integration solutions

Collaborate with cross-functional teams to understand business requirements and design data integration solutions that meet those requirements

• Ensure data integration solutions are secure, reliable, and performant
• Develop and maintain documentation, including technical specifications, data flow diagrams, and data mappings
• Continuously learn and stay up-to-date with the latest data integration approaches and tools

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field
• 8-13 years of experience in data engineering, data integration, or a related field
• Experience with cloud-native or Spark-based ETL tools such as AWS Glue, Azure Data Factory, or GCP Dataflow
• Strong knowledge of SQL for querying and manipulating data
• Experience with Snowflake for cloud data warehousing
• Experience with at least one cloud platform such as AWS, Azure, or GCP
• Experience leading a team of engineers on data integration projects
• Good verbal and written communication skills in English at a B2 level

Nice to have

• Experience with ETL using Python