We are looking for a highly skilled and motivated **Senior Data Engineer**to join our dynamic team.
In this role, you will focus on designing and building scalable data pipelines using Google Cloud Platform (GCP) and Apache Beam (Dataflow), while ensuring the reliability and efficiency of data workflows. If you are passionate about distributed systems, data engineering, and collaborating with diverse teams to deliver impactful solutions, we want to hear from you.
**Responsibilities**
- Design and implement robust and scalable data pipelines using Apache Beam on Google Cloud Dataflow
- Collaborate with data scientists, analysts, and engineers to gather data requirements and deliver tailored solutions
- Optimize data workflows for performance, reliability, and cost-efficiency on GCP services
- Participate in code reviews, write clean and maintainable code, and adhere to engineering best practices
- (If applicable) Utilize Apache Airflow to orchestrate and manage data workflows
- Contribute to architectural decisions and drive continuous improvements in data engineering processes
**Requirements**:
- Bachelor’s degree in engineering, mathematics, computer science, or a related field, or equivalent professional experience
- At least 3 years of experience as a Data Engineer
- Strong hands-on experience with Google Cloud Platform (GCP) services
- Proficiency in Apache Beam and its implementation through Google Cloud Dataflow
- Advanced programming skills in Java
- Solid understanding of distributed data processing, including streaming and batch paradigms
- Experience with version control systems and CI/CD pipelines for automated deployments
- Fluent English communication skills, written and spoken, at a B2 level or higher
**Nice to have**
- Familiarity with Apache Airflow for workflow orchestration and management




- Experience with Python for data manipulation and scripting
- Previous experience working in Agile environments and contributing to Agile teams
**We offer**
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- International Mobility Plan within 25 countries
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days plus 4 floating days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Monthly non-taxable amount for the electricity and internet bills
EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

📌 Senior Data Engineer (México)
🏢 Epam Systems
📍 México