Senior Data Engineer

EPAM Systems Inc; Brasil; Remote; BRL 180,000 - 290,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling / certifications

LinkedIn Learning access

Global career opportunities

Job summary

EPAM Systems Inc. is seeking a hands-on Senior Data Engineer to design, build, and maintain scalable data pipelines on AWS. You will develop robust data processing with Python, Pandas, and PySpark, and orchestrate workflows using MWAA.

The role requires Terraform automation, CI/CD with GitHub Actions, and strong DevOps practices to ensure production-grade data solutions. The ideal candidate will collaborate in an Agile environment, optimize queries in AWS Athena, and contribute to testing,

Qualifications

• Minimum 3 years of relevant professional experience.
• Strong Python programming skills for data engineering solutions.
• Hands-on experience with Pandas for data manipulation and analysis.
• Proficiency in PySpark for large-scale data processing.
• Experience with AWS MWAA or Airflow for data workflows.
• Familiarity with Terraform to automate infrastructure provisioning.
• Experience with GitHub Actions for CI/CD workflows.
• Solid DevOps understanding applied to data environments.

Responsibilities

• Design, build, and maintain scalable data pipelines deployed on AWS.
• Develop robust data processing solutions using Python, Pandas, and PySpark.
• Manage workflows with MWAA to orchestrate data tasks.
• Optimize data queries using AWS Athena for analysis.
• Automate infrastructure provisioning and deployment with Terraform and GitHub Actions.
• Implement testing, monitoring, and data-quality controls for reliability.
• Participate in code reviews and promote engineering best practices.
• Collaborate with cross-functional teams in an Agile environment.

Skills

Python

PySpark

Pandas

AWS

Airflow

DevOps

CI/CD

Agile

Data engineering

Troubleshooting

English (B1+)

Tools

Terraform

GitHub Actions

MWAA

AWS Athena

Job description

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.