Senior Data Integration Engineer (AI, Python, Airflow)

EPAM Systems; Colombia; Remote; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off and sick leave

Upskilling, reskilling and certif​ ica

LinkedIn Learning access

Global career opportunities

Volunteer and community involvement

Job summary

EPAM Systems Inc. is seeking a Senior Data Integration Engineer with hands-on AI familiarity to design, review, and improve cloud-based data pipelines using Python, SQL, Airflow, Spark, and platforms such as AWS, GCP, Databricks, or Snowflake in an Agile team.

You will design scalable data integration systems, mentor junior engineers, and contribute to architecture discussions while ensuring delivery on schedule and quality. Strong English communication is required.

Qualifications

• At least 3 years of applicable, relevant professional experience.
• Functional knowledge of AI principles and tools used to enhance data integration solution development.
• Advanced skill in Python for building and sustaining data integration applications.
• Hands-on background operating within cloud environments built on Amazon Web Services.
• Strong background in Data Integration, joining and consolidating data drawn from multiple sources.
• Skilled in using SQL to organize, manage, and extract data from relational databases.
• Familiarity with NoSQL database systems for handling unstructured and semi-structured data types.
• Understanding of CI/CD practices supporting consistent, automated rollout of software and pipelines.
• Working knowledge of Google Cloud Platform for managing and deploying cloud-centered data solutions.
• Experience with Apache Airflow for scheduling and organizing data-related workflows.
• Practical experience with Databricks or Snowflake for supporting large-scale data processing and analytics.
• Hands-on knowledge of Apache Spark for examining and processing substantial datasets.
• Awareness of SDLC Methodologies and their use in enabling organized, efficient project management.
• Experience working in Agile settings that support iterative, team-oriented development practices.
• Confident English communication skills at a B2 level (Upper-Intermediate) or higher.

Responsibilities

• Design and implement scalable, durable data integration systems that meet business and technical needs.
• Partner with multidisciplinary teams to deliver on schedule and at the expected quality level.
• Shape data integration project direction by actively contributing to architecture discussions.
• Perform code reviews and deliver constructive feedback to maintain dependable engineering practices.
• Analyze and fix complex technical issues across the end-to-end data pipeline lifecycle.
• Support junior engineers’ development through mentoring and knowledge sharing.
• Contribute to planning by clarifying scope and providing accurate time estimates.
• Track emerging technologies and adopt valuable techniques into everyday work.
• Create and maintain clear documentation of key decisions and data workflows for long-term stability.
• Collaborate with stakeholders to define objectives and confirm results match expectations.

Skills

Python

Airflow

SQL

Spark

Cloud platforms

Tools

AWS

GCP

Databricks

Snowflake

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.