Join our team as a **Data Engineer,** where you will play a crucial role in scaling analytical capabilities and improving measurement speed and quality.
**Responsibilities**
- Develop and maintain scalable data pipelines using ETL/ELT processes
- Build and optimize data integration solutions with Databricks and PySpark
- Collaborate with analysts and engineers to create self-serve analytical tools
- Perform ad hoc data analysis to support business insights and market opportunities
- Document code and maintain repositories in GitHub to ensure project continuity
- Translate business goals into technical solutions and analytical models
- Prioritize tasks effectively to deliver high-quality results at speed
- Implement data quality checks to ensure accuracy and reliability
- Optimize SQL queries for performance and scalability
- Coordinate with cross-functional teams to integrate data sources
- Support data visualization efforts with Tableau and Salesforce tools
- Monitor and troubleshoot data workflows in Apache Airflow
- Ensure compliance with data security and governance standards
**Requirements**:
- Strong experience with Databricks and SQL including query optimization (2+ years)
- Proficient in PySpark or Spark/Scala for big data processing
- Experience with cloud platforms, specifically Amazon Web Services (AWS)
- Knowledge of ETL/ELT solutions and data integration techniques
- Ability to write clear, maintainable code with proper documentation
- Strong analytical skills with problem-solving experience
- Experience working with web-scale databases such as Snowflake or BigQuery
- Excellent verbal communication skills in English (B2 or higher)
- Ability to prioritize work and manage time effectively
- Experience using GitHub for version control and collaboration
- Ability to translate broad goals into practical technical solutions
- Experience with data visualization tools such as Tableau
- Self-motivated with the ability to work independently and in teams




**Nice to have**
- Experience in gaming industry data analytics
- Knowledge of Salesforce data integration
- Familiarity with Apache Airflow for workflow orchestration
- Experience building prediction models or hypothesis testing
- Certifications related to data engineering or cloud platforms
**We offer**
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- 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
- 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 general 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.

📌 Data Engineer (México)
🏢 Epam Systems
📍 México