Senior Data Integration Engineer

We are seeking a Senior Data Integration Engineer to develop and maintain reliable financial reporting pipelines. This role combines data engineering with analytics to provide actionable insights that enhance decision-making and optimize financial operations. You will collaborate with finance, insights, and revenue teams while leveraging advanced tools to support a global ecosystem.

**Responsibilities**
- Collaborate with data engineers, analysts, and integration specialists to design and implement end-to-end financial reporting pipelines
- Partner with finance teams to build analytics systems that capture revenue, tax, and payment data for internationally recognized game titles and partner products
- Focus on integrating data into Epic’s global revenue reporting platform from platforms such as Microsoft, PlayStation, Nintendo, and PC storefronts
- Design and maintain dashboards and reports using Tableau to visualize tax, transactional, and e-commerce data
- Collaborate with central data engineering teams to capture, store, and automate the delivery of financial event data using Databricks, Snowflake, and AWS

**Requirements**:

- Bachelor’s or Master’s degree in Finance, Computer Science, Mathematics, or a related field
- At least 3 years of experience in data engineering and analytics
- Proficiency in managing data pipelines using Apache Airflow and Databricks
- Strong knowledge of API protocols, including REST and GraphQL
- Advanced skills in analytical and development languages, such as SQL, Python, Pyspark, or C#
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Skilled in version control and CI/CD processes using tools like GitHub
- Proven ability to work with diverse technologies and take ownership of dashboards, event pipelines, and warehousing solutions
- Fluent English communication skills, both written and spoken, at a B2+ level

**Nice to have**
- Experience with AWS Lambda for serverless computing
- Knowledge of predictive analytics, including regression analysis, classification, or machine learning techniques
- Proven ability to debug and manage CI/CD pipelines effectively
- Experience optimizing large-scale data using technologies such as Databricks, Snowflake, Hadoop, EMR, or Kafka

**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 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.