Senior Data Integration Engineer (AI, Python, Databricks)

EPAM Systems; México; Remote; MXN 900,000 - 1,500,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling / certification programs

LinkedIn Learning access

Job summary

EPAM Systems Inc in Mexico is seeking a Senior Data Integration Engineer to design scalable, cloud-based data pipelines using Python, SQL, Airflow, Spark and tools like Databricks or Snowflake, while applying practical AI familiarity to integration solutions.

You will partner with cross-functional teams to define scope, estimate work, review peers' code, troubleshoot complex pipelines, mentor junior colleagues, document critical data workflows, and help advance our AI-enabled data platform

Qualifications

• At least 3 years of relevant data integration experience.
• Strong Python development for data integration applications.
• Hands-on experience in cloud environments built on AWS.
• Solid SQL skills for relational databases and data wrangling.
• Familiarity with NoSQL databases for unstructured data.
• Understanding of CI/CD practices for automated deployment of data pipelines.
• Experience with Google Cloud Platform is a plus.

Responsibilities

• Design scalable data integration systems that satisfy business and technical needs.
• Collaborate with cross-functional teams to deliver work on time while maintaining quality.
• Review peers’ code and provide actionable feedback to ensure reliable engineering practices.
• Troubleshoot complex issues across the data pipeline lifecycle.
• Mentor junior colleagues and share knowledge to strengthen skills.
• Maintain clear documentation of data workflows and key technical decisions.

Skills

Python

SQL

AWS

CI/CD

English

Agile

AI principles

Tools

Databricks

Snowflake

Airflow

Spark

Job description

We are building dependable, scalable data integration platforms and want a Senior Data Integration Engineer who brings practical AI familiarity. You will partner with a collaborative team to design and run cloud-based pipelines using Python, SQL, Airflow, Spark, and tools like Databricks or Snowflake. Apply now to help deliver high-quality integrations and keep advancing your AI skillsResponsibilitiesDesign scalable, long-lasting data integration systems that satisfy both business and technical needsCollaborate with cross-functional teams to deliver work on time while meeting quality standardsContribute to architecture discussions by sharing input that shapes data integration directionReview peers’ code and provide actionable feedback to uphold reliable engineering practicesTroubleshoot complex technical problems that arise across the data pipeline lifecycleMentor junior colleagues by sharing knowledge that strengthens their technical skillsSupport planning activities by clarifying scope and providing trustworthy time estimatesStay current with evolving technologies and introduce valuable approaches into day-to-day workMaintain clear documentation of key technical decisions and data workflows to ensure long-term stabilityPartner with stakeholders to define goals and verify outcomes meet expectationsRequirementsAt least 3 years of applicable, relevant professional experienceFunctional knowledge of AI principles and tools, applied to improve data integration solution developmentAdvanced proficiency in Python for developing and maintaining data integration applicationsHands-on background working in cloud environments built on Amazon Web ServicesStrong foundation in Data Integration, combining and harmonizing data from multiple sourcesSolid SQL skills for structuring, managing, and querying relational databasesFamiliarity with NoSQL database systems to work with unstructured and semi-structured dataUnderstanding of CI/CD practices that enable consistent, automated deployment of software and pipelinesWorking knowledge of Google Cloud Platform for operating and deploying cloud-centered data solutionsExperience with Apache Airflow to schedule, orchestrate, and monitor data workflowsPractical experience with Databricks or Snowflake to support large-scale processing and analyticsHands-on knowledge of Apache Spark for processing and analyzing substantial datasetsAwareness of SDLC Methodologies and how they support organized, efficient project deliveryExperience working in Agile settings that encourage iterative, team-oriented developmentConfident English communication skills at a B2 level (Upper-Intermediate) 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.