Lead Data Engineer - Data Integration

We are looking for a skilled Lead Data Engineer to enhance our dynamic team.

In this role, you will focus on designing, developing, and maintaining data integration solutions for our clients. Your leadership will guide a team of engineers in delivering scalable, high-quality, and efficient data integration solutions.

This role is perfect for an experienced data integration expert who is passionate about technology and excels in a fast-paced, dynamic setting.

Responsibilities

• Design, develop, and maintain data integration solutions for clients
• Lead a team of engineers to ensure high-quality, scalable, and efficient delivery of data integration solutions
• Collaborate with cross-functional teams to comprehend business requirements and design fitting data integration solutions
• Ensure the security, reliability, and efficiency of data integration solutions
• Develop and maintain documentation, including technical specifications, data flow diagrams, and data mappings
• Continuously update knowledge on the latest data integration methods 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
• Proficiency in 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
• Competency in Snowflake for cloud data warehousing
• Familiarity with at least one cloud platform such as AWS, Azure, or GCP
• Experience in leading a team of engineers on data integration projects
• Good verbal and written communication skills in English at a B2 level
  
  
  

Nice to have

• Background in ETL using Python