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 offer
International projects with top brandsWork with general 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 LinkedIn

📌 Senior Data Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina