DESCRIPTION

　　You are an experienced engineer with strong expertise in Python and cloud computing. You are looking for an opportunity to transition to a career as a Data Software Engineer. If so – join our team and boost your professional growth through our Data Engineering Program. This program is tailored to equip you with progressive data engineering skills that meet current market demands and propel you into exciting projects.

　　About the program

　　The program offers employment benefits as you will become a full-time EPAM employee during the 3-month training period. After the training, you can expect project assignments that leverage your enhanced skills. The comprehensive curriculum covers essential topics ranging from an introduction to Docker, Kubernetes, and Big Data to an in-depth exploration of Hadoop, DevOps and Spark, along with a focus on Kafka, Elastic Stack and various NoSQL technologies.

　　WHAT YOU’LL DO

　　Lead modern data platforms implementation starting from requirements identification and up to production releases

　　Design and develop highly scalable, maintainable and data centric solutions

　　Create, optimize and maintain EL/ETL/ELT data pipelines, orchestration processes and data models

　　Ensure data quality processes, monitoring and data cleansing

　　Contribute to data governance activities

　　Collaborate with cross-functional teams to integrate data into various systems and applications

　　Drive and facilitate direct communication with project sponsors and business stakeholders

　　WHAT YOU HAVE

　　Proven enterprise experience in Python (pandas or similar libraries)

　　Proficiency in Azure or AWS or GCP

　　Background in Linux: skilled in-service configuration and scripting

　　Basic knowledge of Docker, Kubernetes and Terraform

　　Skills in database: strong in SQL and relational algebra

　　Understanding of networking fundamentals

　　WE OFFER

　　Salary range 4200-5700 EUR gross, based on your experience and interview results

　　Outstanding career development roadmap to accelerate your journey

　　Engineering community of industry’s top professionals

　　Certification and mentoring programs, training, and unlimited access to LinkedIn Learning

　　Innovative solutions delivery to the world’s industry leaders

　　Regular assessments and salary reviews

　　Bonuses for participating in the referral program

　　Participation in the Employee Stock Purchase Plan

　　Flexible schedule and opportunity to work remotely from any place in Lithuania

　　Friendly team and enjoyable working environment

　　Relocation within offices in 50+ countries with throughout support for you and your family

　　Three additional vacation days and four trust days a year (sick leave without a medical certificate)

　　Private health insurance and corporate discounts for family members

　　ABOUT EPAM

　　As consultants, designers, architects, engineers and trainers, at EPAM we focus on building long-term partnerships with our customers, enabling them to reimagine their businesses through a digital lens. We help our customers become faster, more agile and more adaptive enterprises, by delivering solutions through best-in-class engineering, strategy, design, consulting, education and innovation servicesEPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

　　At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.