Join our dynamic team as a **Senior Data Engineer**, where you will work independently and collaboratively to deliver high-quality data integration solutions.
Your expertise in investment financial data and agile methodologies will be crucial as you engage with cross-functional teams to enhance our trading platform and reporting capabilities. If you are driven to succeed and ready to make an impact, we invite you to apply.
**Responsibilities**
- Collaborate with the Product Owner, Scrum Master, Subject Matter Experts and Development team to define and analyze user stories tracked in Jira
- Participate in the design, development, and implementation of software solutions using a modern technology stack
- Demonstrate solutions and articulate business value to business partners during sprint showcases
- Engage actively in configuration to support data integration efforts
- Work independently when required while maintaining a collaborative team spirit
- Utilize agile methodologies to iteratively deliver high-quality products
- Contribute to the continuous improvement of the data engineering processes
**Requirements**:
- Bachelor’s degree in a technical discipline or equivalent professional experience
- Minimum 3 years of experience as a professional Data Engineer
- Expertise in SQL, including programming views, stored procedures, and functions
- Background in data modeling with a strong emphasis on best practices
- Proficiency in Snowflake for data warehousing and analysis
- Understanding of data warehouse fundamentals and architecture
- Familiarity with Amazon Web Services and its data-related services
- Experience in Python, particularly with ETL tools like Pandas and NumPy
- Capability to implement and maintain CI/CD pipelines using BitBucket/GitHub and Bamboo
- Fluency in English
**Nice to have**
- Experience with financial systems and reporting, particularly in investments accounting or general ledger
- Knowledge of integrating large-scale financial investment or ERP systems




- Demonstrated experience delivering data solutions via agile methodologies using AWS resources such as S3, Glue, Athena, and Lambda
- Familiarity with business intelligence tools and reporting solutions
- Experience in agile software development practices including story sizing and sprint planning
**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)
- Versátil 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 global 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