Chief Data Integration Engineer

EPAM Systems Inc; México; Remote; MXN 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Learning & development opportunities

Global career opportunities

Volunteer opportunities

Employee groups

Job summary

EPAM Systems Inc. is seeking a Chief Data Integration Engineer to lead and shape large-scale data integration initiatives. You will evaluate existing pipelines, review architectures, and deliver analyses that influence the future state of the data platform.

You will collaborate with discovery teams and global colleagues to drive scalable, cloud-native solutions. The role demands deep technical expertise in ETL/ELT, data warehousing, and modern data tools, plus strong leadership and fluent

Qualifications

• 7+ years in Data Integration
• 2+ years leading teams
• Strong ETL/ELT and data warehousing knowledge
• Cloud-native data integration with AWS
• Experience with AWS Glue to build pipelines
• Proficiency in Python for data integration
• Advanced SQL and scripting abilities
• Fluent English at B2 level or higher

Responsibilities

• Assess current data ingestion and transformation pipelines for design and effectiveness
• Review architecture docs and code, applying accelerators to speed up reviews
• Deliver well-defined analyses and complexity estimates to guide future work
• Collaborate with the discovery team to shape solution design and estimate effort
• Work with cross-functional teams to define target state and plan

Skills

ETL/ELT

Data Warehousing

Cloud-native data integration

AWS Glue

Snowflake

dbt

Dagster

Python

SQL

Leadership/Team management

English (B2)

Tools

AWS Glue

Snowflake

dbt

Dagster

Job description

We're on the search for a highly skilled Chief Data Integration Engineer to come aboard our team. This position provides a chance to engage with intricate, large-scale data infrastructures that underpin essential business functions. You'll combine deep technical knowledge with leadership background to drive impactful changes across the data ecosystem. This opportunity suits someone who thrives on blending detailed technical evaluation with high-level strategic thinking and collaborative teamworkResponsibilitiesExamine the existing setup of data ingestion and transformation pipelines built by the current vendor to gauge their design and effectivenessDig into architecture documentation and underlying source code, applying accelerators to make the code review process more efficientDeliver well-defined analysis outcomes and complexity evaluations that shape decisions around future directionWork hand-in-hand with the discovery team on shaping solution design and calculating effort estimates for the target state build-outRequirementsAt least 7 years of applicable background in Data IntegrationA minimum of two years spent guiding and managing teamsSolid grasp of ETL/ELT workflows, data warehousing concepts, and cloud-native data integration methodsBackground working with the AWS/Serverless ecosystem, Snowflake, dbt, and comparable modern data stack toolsDirect experience using AWS Glue to construct and manage data integration pipelinesStrong command of Python for creating and sustaining data integration solutionsDeep knowledge of building scalable data architectures and cloud-native transformation workflowsAdvanced capability in SQL and scripting languages for manipulating data and automating tasksStrong problem-solving aptitude paired with fluent English communication at a B2 level or aboveNice to haveBackground using Dagster to orchestrate and oversee data pipeline operationsWe 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.