Senior Data Integration Engineer

EPAM Systems; Colombia; Remote; COP 90,000,000 - 130,000,000; Full time

Benefits offered by this job

Healthcare benefits

Upskilling and certification courses

Global career opportunities

Paid time off and sick leave

Job summary

EPAM Systems seeks a Senior Data Integration Engineer with solid AI expertise to join our innovative data team. You will design scalable pipelines, tackle high-value data projects, and collaborate across functions to ensure quality outcomes.

You will also help drive architectural discussions and mentor junior engineers in best practices. Candidates should have hands-on Python, strong data integration experience, and familiarity with cloud platforms such as AWS, GCP, and related tooling like

Qualifications

• At least three years of hands-on professional experience.
• Strong familiarity with AI concepts and data integration principles.
• Proficiency in Python for building and maintaining data pipelines.

Responsibilities

• Plan and build scalable data integration systems aligned with business goals.
• Collaborate with cross-functional teams to ensure timely, quality delivery.
• Review code and provide constructive feedback to maintain engineering standards.

Skills

AI principles

Data integration

Python programming

English communication

Team collaboration

Tools

Python

AWS

SQL

NoSQL

Airflow

Databricks

Snowflake

Spark

GCP

CI/CD

Job description

We're seeking a capable Senior Data Integration Engineer with solid AI expertise to join our organization. This role presents the opportunity to tackle intricate, high-value data projects within a cooperative, innovation-focused setting. You'll become part of a team that prioritizes technical mastery, ongoing refinement, and real-world use of sophisticated technology. For someone driven to construct dependable, well-organized data pipelines while expanding their AI knowledge, this position offers a solid trajectory for career growthResponsibilitiesPlan and construct scalable, sustainable data integration systems that align with business and technical goalsPartner with teams across different functions to ensure work is finished punctually and meets quality expectationsParticipate in architecture-focused discussions, sharing input that helps direct data integration project outcomesAssess code authored by fellow engineers, offering constructive notes that maintain strong engineering standardsDiagnose and resolve intricate technical problems that emerge throughout the data pipeline's lifecycleHelp junior colleagues grow by passing along knowledge that builds their technical competenciesEngage in planning conversations, assisting with scope outlines and delivering reliable time projectionsKeep pace with changing technology trends and incorporate beneficial new methods into regular workPreserve organized documentation of significant technical decisions and data processes to support system longevityCollaborate directly with stakeholders to define clear goals and confirm finished work matches expectationsRequirementsAt least three years of applicable, hands-on professional backgroundHands-on familiarity with AI principles and tools, used to enhance data integration solution designAdvanced command of Python for developing and sustaining data integration systemsDirect experience operating within cloud infrastructure built on Amazon Web ServicesStrong background in Data Integration, linking and unifying information from varied sourcesAble to apply SQL for organizing, managing, and extracting information from relational databasesWorking knowledge of NoSQL database systems for managing unstructured or semi-structured contentAwareness of CI/CD practices that support consistent, automated releases for software and pipelinesFunctional understanding of Google Cloud Platform for managing and deploying cloud-centered data solutionsBackground working with Apache Airflow for coordinating and scheduling data-related workflowsHands-on familiarity with Databricks or Snowflake for handling large-scale data processing and analysisPractical skill with Apache Spark for handling and analyzing extensive datasetsFamiliarity with SDLC Methodologies and their application in supporting organized, efficient project workBackground operating within Agile structures to support collaborative, iterative development cyclesConfident English communication abilities at a B2 level or aboveWe 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.