Senior Data Integration Engineer (AI, Python, Airflow)

EPAM Systems; México; Remote; MXN 600,000 - 1,200,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and cert.ourses

LinkedIn Learning library access

Job summary

EPAM Systems Inc. is seeking a Senior Data Integration Engineer to design, review, and improve cloud-based pipelines using Python, SQL, Airflow, Spark, and platforms like AWS and GCP. You will contribute to architecture discussions and mentor juniors in an Agile setting.

The role emphasizes building durable integrations, documenting decisions, and collaborating with stakeholders to ensure expected results and project timelines.

Qualifications

• 3+ years of relevant experience in data integration or data engineering.
• Hands-on Python for building data pipelines and applications.
• Experience with cloud platforms (AWS, GCP) and data warehousing.
• Familiarity with AI concepts and contributing to architecture decisions.

Responsibilities

• Design and implement scalable data integration pipelines.
• Collaborate with cross-functional teams to meet project deadlines and quality.
• Conduct code reviews and mentor junior engineers.

Skills

Python

SQL

Airflow

Spark

AWS

GCP

Databricks

Snowflake

CI/CD

English communication

Tools

Apache Airflow

Databricks

Snowflake

Apache Spark

Job description

We are delivering complex data integration work and are looking for a Senior Data Integration Engineer with hands-on AI familiarity. You will design, review, and improve cloud-based pipelines using Python, SQL, Airflow, Spark, and platforms such as AWS, GCP, Databricks, or Snowflake in an Agile team. Apply now to build resilient integrations and keep growing your AI skillsResponsibilitiesDesign and implement scalable, durable data integration systems that meet business and technical needsPartner with multidisciplinary teams to complete deliverables on schedule and at the expected quality levelShape data integration project direction by actively contributing to architecture discussionsPerform code reviews and deliver constructive feedback to maintain dependable engineering practicesAnalyze and fix complex technical issues across the end-to-end data pipeline lifecycleSupport junior engineers’ development through mentoring and knowledge sharingContribute to planning by clarifying scope and providing accurate time estimatesTrack emerging technologies and adopt valuable techniques into everyday workCreate and maintain clear documentation of key decisions and data workflows for long-term stabilityCollaborate with stakeholders to define objectives and confirm results match expectationsRequirementsAt least 3 years of applicable, relevant professional experienceFunctional knowledge of AI principles and tools used to enhance data integration solution developmentAdvanced skill in Python for building and sustaining data integration applicationsHands-on background operating within cloud environments built on Amazon Web ServicesStrong background in Data Integration, joining and consolidating data drawn from multiple sourcesSkilled in using SQL to organize, manage, and extract data from relational databasesFamiliarity with NoSQL database systems for handling unstructured and semi-structured data typesUnderstanding of CI/CD practices supporting consistent, automated rollout of software and pipelinesWorking knowledge of Google Cloud Platform for managing and deploying cloud-centered data solutionsExperience with Apache Airflow for scheduling and organizing data-related workflowsPractical experience with Databricks or Snowflake for supporting large-scale data processing and analyticsHands-on knowledge of Apache Spark for examining and processing substantial datasetsAwareness of SDLC Methodologies and their use in enabling organized, efficient project managementExperience working in Agile settings that support iterative, team-oriented development practicesConfident 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.