Lead Data Integration Engineer

EPAM Systems; Argentina; Remote; ARS 108,394,000 - 170,334,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Job summary

EPAM Systems Inc seeks a Lead Data Integration Engineer to guide complex, large-scale data systems and align hands-on work with strategic planning. You will review pipelines, architectures, and source code, producing insights and estimates while collaborating with global teams.

The role focuses on modern data stack technologies such as AWS Glue, Snowflake and dbt, and requires leadership of a data integration practice with strong Python and SQL skills.

Qualifications

• Minimum 5 years in Data Integration with hands-on experience.
• Experience leading and managing teams for data projects.
• Strong ETL/ELT, data warehousing and cloud-native techniques.
• Proficiency with AWS/Glu e, Snowflake, dbt and modern data stack.
• Python for developing data integration solutions; SQL for data manipulation.
• Fluent English communication at B2 level or higher.

Responsibilities

• Analyze current ingestion and transformation pipelines for structure and performance.
• Review architecture docs and source code; support efficient code analysis.
• Produce clear analysis results and complexity assessments for planning.
• Collaborate with discovery team on design and effort estimation.
• Lead and mentor team; guide target-state implementation.

Skills

Data integration

Team leadership

ETL/ELT

Python

SQL

Cloud data stack

Problem solving

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 LinkedIn