Senior Data Integration Engineer

EPAM Systems; México; Remote; MXN 900,000 - 1,300,000; Full time

Job summary

EPAM Systems in Mexico is seeking a Senior Data Integration Engineer with strong AI knowledge to join our team. You will design and build scalable data integration solutions that meet business objectives and work with cross-functional teams.

This role emphasizes code quality, automation, and continuous improvement as you mentor teammates, review code, and stay current with new data technologies. Fluency in English is required and experience with cloud data platforms is a must.

Qualifications

• 3+ years of professional data integration experience.
• Experience applying AI concepts to data pipelines.
• Proficient in Python for data workflows.
• Experience with cloud data platforms (AWS, GCP).
• Strong SQL and NoSQL knowledge.
• Familiarity with Airflow, Spark, Databricks, Snowflake.
• Fluent English (B2+).

Responsibilities

• Design and build scalable, maintainable data integration solutions that meet business and technical objectives.
• Collaborate with cross-functional teams to ensure deliverables are completed on time and meet quality standards.
• Review code produced by fellow engineers, providing constructive feedback to uphold strong engineering practices.
• Investigate and resolve complex technical issues that arise throughout the data pipeline lifecycle.
• Support the growth of junior team members by sharing knowledge that strengthens their technical abilities.
• Take part in planning discussions, contributing to scope definition and providing accurate time estimates.
• Stay current with evolving technology trends and apply valuable new approaches to daily work.
• Maintain clear documentation of key technical decisions and data workflows to support long-term system stability.

Skills

Python

Data integration

SQL

NoSQL

Airflow

Spark

Databricks

Snowflake

CI/CD

Agile

Tools

Amazon Web Services

Google Cloud Platform

Apache Airflow

Databricks

Snowflake

Apache Spark

Job description

We are looking for a Senior Data Integration Engineer with strong AI knowledge to join our team. This role offers the opportunity to work on complex, high-impact data projects within a collaborative and innovation-driven environment. You'll be part of a team that values technical excellence, continuous improvement, and the practical application of advanced technology. If you're motivated to build reliable, well-structured data pipelines while growing your AI expertise, this position offers a strong path for professional development.ResponsibilitiesDesign and build scalable, maintainable data integration solutions that meet business and technical objectivesCollaborate with cross-functional teams to ensure deliverables are completed on time and meet quality standardsContribute to architecture discussions, offering input that helps shape the direction of data integration projectsReview code produced by fellow engineers, providing constructive feedback to uphold strong engineering practicesInvestigate and resolve complex technical issues that arise throughout the data pipeline lifecycleSupport the growth of junior team members by sharing knowledge that strengthens their technical abilitiesTake part in planning discussions, contributing to scope definition and providing accurate time estimatesStay current with evolving technology trends and apply valuable new approaches to daily workMaintain clear documentation of key technical decisions and data workflows to support long-term system stabilityWork closely with stakeholders to establish clear objectives and ensure completed work aligns with expectationsRequirementsA minimum of 3 years of relevant professional experiencePractical knowledge of AI concepts and tools, applied to strengthen data integration solution designStrong proficiency in Python for building and maintaining data integration applicationsHands-on experience working within cloud environments built on Amazon Web ServicesSolid background in Data Integration, connecting and consolidating data from diverse sourcesCapable of using SQL to structure, manage, and retrieve data from relational databasesFamiliarity with NoSQL database technologies for handling unstructured or semi-structured dataUnderstanding of CI/CD practices that enable consistent, automated software and pipeline releasesWorking knowledge of Google Cloud Platform for managing and deploying cloud-based data solutionsExperience with Apache Airflow for orchestrating and scheduling data workflowsPractical experience with Databricks or Snowflake for managing large-scale data processing and analyticsHands-on knowledge of Apache Spark for processing and analyzing large datasetsKnowledge of SDLC Methodologies and their implementation to support organized, efficient project executionExperience working within Agile frameworks to support iterative, collaborative developmentFluent English communication skills at a B2 level or higherWe 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.