Data Software Engineer

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. DESCRIPTION You are curious, persistent, logical and clever - a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a "Big Data" Now, Data Software Engineer. Scroll down to learn more about the position’s responsibilities and requirements. **REQUIREMENTS**: - Coding experience with one of the following programming languages: Python/Java/Scala - Experience with Linux OS: configure services and write basic shell scripts, understanding of network fundamentals - Good knowledge of SQL and relational algebra - Advanced experience in software development with Data technologies (e.g. administration, configuration management, monitoring, debugging, performance tuning, documentation, Unit testing & Sizing user stories ) - Engineering experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation, Security - Experience building data ingestion pipelines, Data Warehouse or Database architecture - Experience with data modeling; hands-on development experience with modern Big Data components - Cloud: experience in designing, deploying, and administering scalable, available and fault tolerant systems - Good understanding of CI/CD principles and best practices - Analytical approach to problem; excellent interpersonal, mentoring and communication skills - English proficiency - Advanced understanding of distributed computing principles TECHNOLOGIES - Programming Languages: Python/Java/Scala and SQL - Cloud-Native stack: Databricks, Azure DataFactory, AWS Glue, AWS EMR, Athena, GCP DataProc, GCP DataFlow - Big Data stack: Spark Core, Spark SQL, Spark ML, Kafka, Kafka Connect, Airflow, Nifi, Streamset - NoSQL: CosmosDB, DynamoDB, Cassandra, HBase; MongoDB - Queues and Stream processing: Kafka Streams; Flink; Spark Streaming 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 - 10 vacations days plus 2 floating days - Official Mexican holidays, plus five extra holidays (Holy Thursday and Friday, November 2nd, December 24th & 31st - Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more - 30 days of salary End of Year bonus - Monthly non-taxable amount for the electricity and internet bills - Employee Stock Purchase Program Tipo de puesto: Tiempo completo, Por tiempo indeterminado Salario: $75,494.13 al mes Horario: - Turno de 8 horas Prestaciones: - Caja de ahorro - Seguro de gastos médicos - Seguro de la vista - Trabajar desde casa - Vales de despensa Consideraciones ante el COVID-19: Sí. Todos los empleados trabajan desde casa. En dado caso de asistira a oficina en Guadalajara, se siguen los protocolos de higiene por COVID