We're seeking a hands-on Lead Data Engineer to construct and maintain scalable data pipelines along with cloud-based data solutions. The right person for this role brings substantial background in Python, Py Spark, AWS, Airflow, and Dev Ops, with particular attention to production-grade engineering and automation practices Responsibilities Create, construct, and sustain scalable data pipelines running on AWS infrastructure Build dependable data processing solutions leveraging Python, Pandas, and Py Spark Establish and oversee workflows via AWS Managed Workflows for Apache Airflow (MWAA)Craft and fine-tune data queries through AWS Athena to enable efficient analytical work Streamline infrastructure setup and deployment workflows through automation using Terraform and Git Hub Actions Put in place testing, monitoring, troubleshooting practices, and data-quality safeguards to keep pipelines dependable Take part in reviewing code and help promote sound engineering practices throughout the team Work alongside engineering, product, and business groups within an Agile setting Requirements At least 5 years of applicable professional background A minimum of one year spent leading and managing development teams Solid foundation in core Python programming applied to data engineering work Practical experience applying Python Pandas for manipulating and analyzing data Strong capability with Py Spark for handling large-scale distributed data processing Background working with AWS MWAA or Apache Airflow to coordinate and manage data workflows Familiarity with AWS Athena for running queries and analyzing data housed within AWSHands-on background using Terraform to automate infrastructure setup and management Working knowledge of Git Hub Actions for constructing automated CI/CD pipelines Good grasp of Dev Ops principles as applied within data engineering contexts Strong capabilities in data engineering, troubleshooting, and resolving complex problems Upper-intermediate English language skills or higher (B1)Nice to have Background applying Git Hub Copilot to assist with development, code reviews, testing, and release processes Knowledge of CI/CD methodologies and associated tools for smoother software delivery Background working within Agile/Scrum team structures Experience gained within financial services or investment management sectors Background in Gen AI application development and incorporating Gen AI practices into the software development lifecycle (SDLC)We offer International projects with top brands Work with general 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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📌 Lead Data Engineer (Ciudad de México)
🏢 Epam Systems
📍 Ciudad de México