We are looking for a Lead Data Engineer to modernize data environments for the project, focusing on cloud and lakehouse solutions using Databricks. You will lead scalable pipeline delivery, data migration, and governance while partnering with technical and business teams—apply now to help build a reliable modern data platform.

Responsibilities

Design scalable batch and streaming data pipelines
Deliver data migration initiatives from on-premises to cloud or between platforms
Develop and optimize data solutions using Databricks and Apache Spark
Build ETL/ELT processes aligned with data engineering best practices
Elicit requirements with technical and business teams in a consulting context
Ensure data quality, governance, and security across platforms
Monitor and optimize cloud performance and cost
Troubleshoot and resolve production pipeline issues
Document architectures, technical processes, and migration strategies

Requirements

5+ years of experience as a Data Engineer
Proven consulting experience working with clients and stakeholders




Hands-on experience with data migration projects, from legacy systems to cloud or platform-to-platform
Expertise in Databricks for development and optimization
Proficiency in advanced SQL and data modeling
Skills in Python or Scala for data engineering workloads
Upper-Intermediate English proficiency (B2, upper-intermediate)
Strong analytical and solution-oriented mindset
Clear communication skills and teamwork focus
Proactive attitude with strong ownership mindset

Nice to have

Databricks certification
Experience with CI/CD for data pipelines
Skills in Infrastructure as Code with Terraform or ARM
Experience in Spark performance tuning
Familiarity with Power BI, Kafka, or Unity Catalog

We offer

Improved medical coverage - EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for particip

📌 Lead Data Engineer (Chile)
🏢 EPAM Systems
📍 Chile