Lead Data Integration Engineer

EPAM Systems Inc; Brasil; Remote; BRL 240,000 - 320,000; Full time

Job summary

EPAM Systems Inc. seeks a Lead Data Integration Engineer to drive architecture and implementation across large-scale data platforms in Brazil.

The role combines hands-on data analysis with strategic planning and team collaboration to improve ingestion, transformation, and data quality. You will review vendor pipelines, document findings, and coordinate with cross-functional teams to estimate effort and guide the target state implementation.

Qualifications

• Minimum 5 years in Data Integration.
• Proven experience leading and managing teams.
• Strong ETL/ELT, data warehousing, and cloud-native integration skills.
• Hands-on with AWS/Serverless stack and modern data tech.

Responsibilities

• Analyze current data ingestion and transformation pipelines for performance.
• Review architecture docs and source code to support planning.
• Produce clear analysis results and complexity assessments.
• Collaborate with discovery team on solution design and estimation.

Skills

Data integration

Team leadership

Python

SQL

ETL/ELT

Cloud-native data integration

AWS

Snowflake

dbt

Dagster

English communication

Tools

AWS Glue

Snowflake

dbt

Dagster

Job description

We are seeking a highly capable Lead Data Integration Engineer to join our team. This role offers the opportunity to work on complex, large-scale data systems that support critical business operations. You'll bring technical depth and leadership experience together to guide meaningful improvements across the data landscape. This is a great fit for someone who enjoys balancing hands-on technical analysis with strategic planning and team collaborationResponsibilitiesAnalyze the current state of data ingestion and transformation pipelines implemented by the incumbent vendor to assess their structure and performanceReview architecture documentation and source code in detail, utilizing accelerators to support efficient code analysisProduce clear analysis results and complexity assessments that inform future planning decisionsCollaborate with the discovery team on solution design and effort estimation for the target state implementationRequirementsA minimum of 5 years of relevant experience in Data IntegrationAt least one year of experience leading and managing teamsGood understanding of ETL/ELT processes, data warehousing, and cloud-native data integration techniquesExperience with the AWS/Serverless stack, Snowflake, dbt, and related modern data stack technologiesHands-on experience with AWS Glue for building and managing data integration workflowsProficiency in Python for developing and maintaining data integration solutionsExpertise in designing scalable data systems and cloud-native transformation processesStrong proficiency in SQL and scripting languages for data manipulation and automationExcellent problem-solving skills and fluent English communication at a B2 level or higherNice to haveExperience with Dagster for orchestrating and managing data pipeline workflowsWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.