DESCRIPTION Are you a data enthusiast with a passion for integrating, analyzing, and visualizing data? If so, we have an exciting opportunity for you at EPAM! We are seeking a Data Analytics, Visualization, and Integration Engineer to join our dynamic team. In this role, you will design and implement data integration solutions, model databases, and contribute to building enterprise data platforms. This is a fantastic opportunity to work with a diverse team on innovative projects, and we welcome you to apply if you're ready to take your career to the next level! 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. Responsibilities Design and implement Data Integration solutions, modeling databases, and contribute to building enterprise data platforms using classic Data technologies and tools (Databases, ETL/ELT technology & tools) Take on the role of Developer on a project and ensure that delivered solutions meet product requirements Coordinate release schedules and milestones across teams to ensure timely delivery of solutions Utilize Google-based tools for various functions, ensuring high development standards Maintain data integrity and security with strict procedures for confidentiality Support deployed solutions by addressing production issues and assisting in required reconfigurations Work with modern Agile developing methodologies and tools Requirements Good knowledge of Databases (SQL optimization, Relations, Stored Procedures, Transactions, Isolation Levels, etc.) Expected experience working with at least one Relational Database (RDBMS: MS SQL Server, Oracle, MySQL, PostgreSQL) Strong SQL knowledge is required Proficiency in coding with one of the data-oriented programming languages: SQL, Python, SparkSQL, PySpark, R, Bash, Scala Vast experience working with at least one Relational Database (RDBMS: MS SQL Server, Oracle, MySQL, PostgreSQL) Experience in direct customer communications is a plus English proficiency Previous experience in coding with one of the data-oriented programming languages: SQL, Python, SparkSQL, PySpark, R, Bash, Scala Knowledge of at least one Relational Database (RDBMS: MS SQL Server, Oracle, MySQL, PostgreSQL) 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) Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more Monthly non-taxable amount for the electricity and internet bills Conditions By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy