Data Engineer in UP.Labs

As a Data Engineer, you will play a critical role in building and optimizing data infrastructure to support analytics and machine learning initiatives. You will design scalable data pipelines, develop ETL workflows, and ensure the efficient integration of data across various platforms using industry-standard technologies and tools. Your work will enable cross-functional teams to derive insights and make data-driven decisions.

Apply without intermediaries through Get on Board.

• Bachelor's or Master's degree in Data Engineering, Computer Science, or a related field, or equivalent practical experience.
• Minimum 5 years’ experience designing and implementing data pipelines and ETL workflows.
• Proven track record delivering production-grade software solutions.
• Exceptional problem-solving skills and strong attention to detail.
• Excellent English communication skills.
• Strong analytical capabilities and ability to work collaboratively within cross-functional teams.
• Ability to thrive in a fast-paced agile environment, contributing to both frontend and backend architectural decisions.
• Advanced proficiency in Python programming.
• Expertise in SQL for querying and managing complex data structures.
• Deep experience with Databricks for managing and optimizing large-scale data systems.
• Strong experience with at least one major cloud platform (AWS, Azure, or GCP).
• Solid understanding of database systems, data warehousing, and data modeling methodologies.
• Familiarity with distributed computing and Big Data frameworks such as Apache Spark or Hadoop.