Senior Data Platform Engineer

EPAM Systems

Colombia

In loco

COP 120.000.000 - 180.000.000

Tempo pieno

23 ore fa
Candidati tra i primi
Generatore di candidature

Una candidatura su misura per questa offerta di lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

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Vantaggi offerti da questo lavoro

Healthcare benefits
Paid time off
Upskilling and certifications
Global career opportunities

Descrizione del lavoro

EPAM Systems is seeking a Senior Data Platform Engineer to define, build, and operate the Enterprise Data Platform (EDP). You will help design a scalable AWS native lakehouse and govern data assets across a federated model, enabling enterprise analytics and faster insight delivery.

You will contribute to strategy, establish patterns, and ensure reliable operation of ingestion pipelines and data products, while optimizing costs and enforcing governance standards.

Competenze

  • 3+ years of experience in data engineering or related fields.
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Mansioni

  • Contribute to the enterprise data platform strategy and roadmap.
  • Design and evolve a modern AWS native lakehouse architecture.
  • Establish scalable, reusable data platform patterns and standards.
  • Support migration from legacy Microsoft based data platforms.
  • Apply and refine the federated data operating model, including domain responsibilities and data product standards.
  • Support delivery and ongoing operation of the data platform.
  • Develop data ingestion pipelines and transformation frameworks.
  • Ensure platform reliability, performance, and scalability.
  • Implement monitoring, observability, and operational controls.
  • Optimize platform cost efficiency across storage, compute, and data processing workloads.
  • Apply and enforce data governance standards, policies, and controls.
  • Support tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processing

Conoscenze

AWS data services
Data governance
ETL/ELT pipelines
Data ingestion
Lakehouse architecture
Data cataloging
Security/access control
Query engines (Athena/Redshift)
English (B2)

Strumenti

S3
Glue
Lake Formation
DataZone
IAM
Athena
Redshift

Descrizione del lavoro

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a Senior Data Platform Engineer to help define, build, and operate the Enterprise Data Platform (EDP), a centralized, governed, and scalable data foundation that enables enterprise analytics and accelerates insight delivery. This role contributes to the end-to-end data platform capability as a strategic enterprise asset, supporting the design and execution of a modern AWS native lakehouse platform while applying strong technical expertise and collaborating within a federated data model that supports domain ownership and centralized governance.
Responsibilities

  • Contribute to the enterprise data platform strategy and roadmap
  • Design and evolve a modern AWS native lakehouse architecture
  • Establish scalable, reusable data platform patterns and standards
  • Support migration from legacy Microsoft based data platforms
  • Apply and refine the federated data operating model, including domain responsibilities and data product standards
  • Support delivery and ongoing operation of the data platform
  • Develop data ingestion pipelines and transformation frameworks
  • Ensure platform reliability, performance, and scalability
  • Implement monitoring, observability, and operational controls
  • Optimize platform cost efficiency across storage, compute, and data processing workloads
  • Apply and enforce data governance standards, policies, and controls
  • Support tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processing
Requirements
  • 3+ years of experience in data engineering, data platforms, or related fields
  • Hands‑on expertise in AWS data ecosystem services such as S3, Glue, and Lake Formation
  • Proficiency in AWS DataZone, IAM, and query engines such as Athena or Redshift
  • Experience designing and implementing lakehouse or modern data platform architectures
  • Expertise in data ingestion, ETL/ELT pipelines, and orchestration frameworks
  • Understanding of data governance, security, and access control models
  • Experience with enterprise data cataloging and metadata management
  • English proficiency at B2 level or higher
Nice to have
  • Experience migrating from Microsoft-centric data platforms such as SQL Server, SSIS, and Azure
  • Familiarity with domain-oriented or data mesh operating models
  • Experience supporting analytics tools such as Power BI
  • Knowledge of data sharing and cross-domain data product models
  • Exposure to agentic AI capabilities and data access patterns for AI workloads
We offer
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM 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.
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