Lead Data Engineer

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

Vantagens oferecidas por esta oferta de emprego

Databricks certification

Resumo da oferta

EPAM Systems is seeking a Lead Data Engineer to modernize data environments with 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 data engineering and consulting experience, strong SQL, Python/Scala, and excellent communication. Join EPAM to drive cloud-first data platforms and governance across projects.

Qualificações

• Minimum 5+ years of experience as a data engineer.
• Consulting experience with clients and stakeholders.
• Hands-on data migration from legacy to cloud or platform-to-platform.
• Expertise with Databricks for development and optimization.
• Advanced SQL and data modeling skills.
• Proficiency in Python or Scala for data workloads.
• Upper-Intermediate English (B2).
• Strong analytical and solution-oriented mindset.
• Clear communication and teamwork focus.
• Proactive ownership mindset.

Responsabilidades

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

Conhecimentos

Data engineering

Consulting

Data migration

Databricks

SQL

Python/Scala

English B2

Communication

Ownership

Teamwork

Ferramentas

Databricks

Apache Spark

CI/CD for data pipelines

Terraform

ARM template

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—

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.