We are looking for a hands-on Senior Data Engineer to build and support scalable data pipelines and cloud-based data solutions. The idóneo candidate will have strong experience in Python, Py Spark, AWS, Airflow, and Dev Ops, with a focus on production-quality engineering and automation Responsibilities Design, build, and maintain scalable data pipelines deployed on AWSDevelop robust data processing solutions using Python, Pandas, and Py Spark Build and manage workflows through AWS Managed Workflows for Apache Airflow (MWAA)Develop and optimize data queries using AWS Athena to support efficient data analysis Automate infrastructure provisioning and deployment processes using Terraform and Git Hub Actions Implement testing, monitoring, troubleshooting, and data-quality controls to ensure pipeline reliability Participate in code reviews and help drive strong engineering best practices across the team Collaborate with engineering, product, and business teams within an Agile environment Requirements A minimum of 3 years of relevant professional experience Strong core Python programming skills for building data engineering solutions Hands-on experience with Python Pandas for data manipulation and analysis Proficiency in Py Spark for processing large-scale distributed data Experience with AWS MWAA or Apache Airflow for orchestrating and managing data workflows Working knowledge of AWS Athena for querying and analyzing data stored in AWSExperience using Terraform to automate infrastructure provisioning and management Familiarity with Git Hub Actions for building automated CI/CD workflows Solid understanding of Dev Ops practices applied to data engineering environments Strong data engineering, debugging, and problem-solving skills Upper-intermediate English language skills or higher (B1)Nice to have Experience using Git Hub Copilot to support development, code reviews, testing, and release management Familiarity with CI/CD practices and tooling for streamlined software delivery Experience working within Agile/Scrum environments Background in financial services or investment management industries Experience with Gen AI application development and applying Gen AI within the software development lifecycle (SDLC)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 Linked In 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 Linked In 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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📌 Senior Data Engineer (México)
🏢 Epam Systems
📍 México