Lead Data Integration Engineer

EPAM Systems; Chile; Remote; CLP 60,000,000 - 100,000,000; Full time

Job summary

EPAM Systems Inc. is seeking a Lead Data Integration Engineer to drive analysis and improvements of large-scale data pipelines in a collaborative, international setting. You will balance hands-on technical work with strategic planning while guiding a growing data team.

The role requires experience in ETL/ELT, cloud-native data integration, and experience with Snowflake, dbt, AWS Glue, and Dagster. Strong Python and SQL skills are essential, with fluent English at a B2 level or higher.

Qualifications

• Minimum 5 years of experience in Data Integration.
• At least 1 year of experience leading and managing teams.
• Strong knowledge of ETL/ELT, data warehousing, and cloud-native integration.
• Hands-on with AWS Serverless stack, Snowflake, dbt, and modern data stack technologies.
• Proficiency in Python for developing data integration solutions.
• Strong SQL and scripting for data manipulation and automation.
• Excellent problem-solving and fluent English communication at a B2 level or higher.
• Nice to have experience with Dagster for orchestrating pipelines.

Responsibilities

• Analyze the current state of data ingestion and transformation pipelines.
• Review architecture documentation and source code in detail with accelerators.
• Produce clear analysis results and complexity assessments for planning.
• Collaborate with the discovery team on solution design and effort estimation.
• Guide improvements across the data landscape.

Skills

Data Integration

Team leadership

ETL/ELT

Data warehousing

Python

SQL

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.