Lead Data Integration Engineer

We are looking for a Lead Data Integration Engineer to design and manage robust financial reporting pipelines. This position blends expertise in data engineering and analytics to deliver key insights that enhance decision-making and streamline financial operations. You will collaborate with finance, insights, and revenue teams, leveraging advanced technologies to support a global ecosystem.**Responsibilities**- Work with data engineers, analysts, and integration specialists to create and implement comprehensive financial reporting pipelines- Collaborate with finance teams to develop analytics systems that track revenue, tax, and payment data for globally recognized game titles and partner products- Focus on integrating financial data into Epic's global revenue reporting platform, including sources such as Microsoft, PlayStation, Nintendo, and PC storefronts- Develop and maintain dashboards and reports using Tableau to visualize tax, transactional, and e-commerce data- Work with central data engineering teams to capture, store, and automate financial event data using tools like Databricks, Snowflake, and AWS**Requirements**:- Bachelor’s or Master’s degree in Finance, Computer Science, Mathematics, or a related discipline- At least 5 years of experience in data engineering and analytics- Minimum of one year of leadership experience managing development teams- Proficiency in creating and managing data pipelines with tools like Apache Airflow and Databricks- Strong understanding of API protocols, including REST and GraphQL- Advanced expertise in programming and analytical languages, such as SQL, Python, Pyspark, or C#- Experience working with major cloud platforms, including AWS, Azure, or GCP- Proficiency in version control and CI/CD workflows using tools like GitHub- Demonstrated ability to work with diverse technologies and oversee dashboards, event pipelines, and warehousing solutions- Fluency in English, both written and verbal, at a B2+ level**Nice to have**- Familiarity with AWS Lambda for serverless computing- Knowledge of predictive analytics techniques, including regression analysis, classification, or machine learning- Experience debugging and maintaining CI/CD pipelines- Expertise in optimizing large-scale data using tools like 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 billsEPAM 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.