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Lead Big Data Engineer with Databricks

Remote in Argentina,
& 6 others
Data Software Engineering
& 6 others

We are looking for a skilled remote Lead Big Data Engineer with Databricks experience to join our team.

Your primary responsibility will be to lead the development of our ETL pipelines on Databricks using Spark/Scala, Databricks, and AWS. You must have extremely strong experience with Databricks, AWS, Python, and Elastic.

Responsibilities
  • Lead the development of ETL pipelines on Databricks using Spark/Scala, Databricks, and AWS
  • Work closely with cross-functional teams to define data requirements
  • Develop and maintain scalable data infrastructure
  • Ensure the reliability, efficiency, and scalability of data pipelines
  • Coach and mentor other members of the team
Requirements
  • At least 5 years of experience in Big Data Engineering
  • 1+ years of relevant leadership experience
  • Expertise in Databricks, AWS, Python, and Elastic
  • Deep understanding of Spark/Scala and data architecture principles
  • Knowledge of data models, ETL design, implementation, and maintenance
  • Strong communication skills and ability to collaborate with cross-functional teams
  • B2+ English level
Nice to have
  • Experience with Apache Airflow
  • Familiarity with Agile methodologies and SDLC practices
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn