Lead Data Engineer

EPAM Systems; Brasil; Presencial; BRL 180 000 - 300 000; Tempo integral

Resumo da oferta

EPAM Systems is seeking 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.

The role requires 5+ years of experience, strong consulting skills, expertise in Databricks and Spark, advanced SQL, and Python or Scala.

Qualificações

• 5+ years of experience as a data engineer.
• Proven consulting experience with clients and stakeholders.
• Hands-on data migration from on-prem to cloud or cross-platform.
• Expertise in Databricks for development and optimization.
• Proficiency in advanced SQL and data modeling.
• Python or Scala for data engineering workloads.
• Upper-Intermediate English (B2).
• Strong analytical and communication skills.
• Ownership mindset with proactive attitude.

Responsabilidades

• Design scalable batch and streaming pipelines.
• Lead data migrations from on-prem to cloud or cross-platform.
• Develop and optimize data solutions with Databricks and Spark.
• Build ETL/ELT processes following best practices.
• Collaborate with technical and business teams.
• Ensure data quality, governance, and security.
• Monitor cloud performance and cost; troubleshoot issues.
• Document architectures and migration strategies.

Conhecimentos

Databricks

SQL

Python

Scala

Consulting

5+ years exp

English B2

Ownership mindset

Communication

Ferramentas

Databricks

Apache Spark

Terraform

ARM

Power BI

Kafka

Unity Catalog

Descrição da oferta de emprego

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—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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.