Senior Data Engineer

EPAM Systems Inc; Colombia; À distance; COP 120 000 000 - 180 000 000; Plein temps

Avantages offerts par ce poste

Healthcare benefits

Employee financial programs

Paid time off

Résumé du poste

EPAM Systems Inc. is seeking a hands-on Senior Data Engineer in Colombia to design, build, and support scalable data pipelines on AWS. You will leverage Python, Pandas, and PySpark to deliver robust data processing solutions and orchestrate workflows with MWAA.

Automate infrastructure with Terraform and GitHub Actions, and enforce data quality in an Agile setting. The role emphasizes production-grade engineering, DevOps practices, and collaboration with cross-functional teams on complex data

Qualifications

• 3+ years of data engineering experience.
• Strong Python and Pandas for data processing.
• Hands-on PySpark for large-scale workloads.
• Experience with AWS MWAA or Airflow orchestration.
• CI/CD and DevOps practices.

Responsabilités

• Design, build, and maintain scalable data pipelines on AWS.
• Develop data processing solutions using Python, Pandas, and PySpark.
• Orchestrate workflows with MWAA/Airflow.
• Query data with Athena to support analysis.
• Automate infrastructure with Terraform and GitHub Actions.
• Implement testing, monitoring, and data quality controls.
• Collaborate in an Agile environment and participate in code reviews.

Connaissances

Python

PySpark

AWS

Airflow

DevOps

Pandas

GitHub Actions

CI/CD

Gen AI

MWAA

Outils

Terraform

GitHub Actions

Description du poste

We are looking for a hands-on Senior Data Engineer to build and support scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong experience in Python, PySpark, AWS, Airflow, and DevOps, with a focus on production-quality engineering and automationResponsibilitiesDesign, build, and maintain scalable data pipelines deployed on AWSDevelop robust data processing solutions using Python, Pandas, and PySparkBuild and manage workflows through AWS Managed Workflows for Apache Airflow (MWAA)Develop and optimize data queries using AWS Athena to support efficient data analysisAutomate infrastructure provisioning and deployment processes using Terraform and GitHub ActionsImplement testing, monitoring, troubleshooting, and data-quality controls to ensure pipeline reliabilityParticipate in code reviews and help drive strong engineering best practices across the teamCollaborate with engineering, product, and business teams within an Agile environmentRequirementsA minimum of 3 years of relevant professional experienceStrong core Python programming skills for building data engineering solutionsHands-on experience with Python Pandas for data manipulation and analysisProficiency in PySpark for processing large-scale distributed dataExperience with AWS MWAA or Apache Airflow for orchestrating and managing data workflowsWorking knowledge of AWS Athena for querying and analyzing data stored in AWSExperience using Terraform to automate infrastructure provisioning and managementFamiliarity with GitHub Actions for building automated CI/CD workflowsSolid understanding of DevOps practices applied to data engineering environmentsStrong data engineering, debugging, and problem-solving skillsUpper-intermediate English language skills or higher (B1)Nice to haveExperience using GitHub Copilot to support development, code reviews, testing, and release managementFamiliarity with CI/CD practices and tooling for streamlined software deliveryExperience working within Agile/Scrum environmentsBackground in financial services or investment management industriesExperience with Gen AI application development and applying Gen AI within the software development lifecycle (SDLC)We 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.