Senior Data Engineer

We are seeking a Senior Data Engineer to join our team and take a leading role in designing, building and evolving enterprise-scale data solutions. This is a hands-on engineering position that blends deep technical expertise with architectural thinking and technical leadership. You will work with modern data engineering practices, contribute to our Data Lakehouse platforms and help shape the future of our cloud-native data ecosystem.

Responsibilities

• Design, build and evolve enterprise-scale data solutions
• Take a leading role in shaping the architecture of cloud-native data platforms
• Contribute to the development and growth of Data Lakehouse platforms
• Design, implement and maintain robust and reliable data pipelines
• Develop ETL processes for large-scale data processing and automation
• Apply modern data engineering practices across the data ecosystem
• Provide technical leadership and architectural guidance within the team
• Collaborate with stakeholders to deliver scalable enterprise data solutions

Requirements

• 3+ years of experience in data engineering within enterprise environments
• Proficiency in advanced SQL with solid understanding of analytical and dimensional data modeling
• Hands-on experience with Data Lakehouse or modern data platform concepts including cloud object storage, open table formats and distributed processing
• Expertise in AWS data services such as EMR, Glue and Athena, including S3-based data lakes
• Strong experience with Apache Spark for large-scale data processing
• Solid Python skills for ETL development, data processing and automation
• Background in designing, implementing and maintaining robust and reliable data pipelines
• Strong analytical, problem-solving and system-level thinking skills
• Fluent English in spoken and written communication

Nice to have

• Familiarity with Oracle or Sybase data warehouses