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

　　We connect like-minded people:

　　Delivering innovative solutions to industry leaders, making a global impact

　　Enjoyable working environment, whether it is the vibrant office or the comfort of your home 

　　Opportunity to work abroad for up to two months per year

　　Relocation opportunities within our offices in 50+ countries

　　Corporate and social events 

　　We invest in your growth:

　　Leadership development, career advising, soft skills and well-being programs 

　　Certifications, including GCP, Azure and AWS

　　Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru 

　　Free English classes with certified teachers 
 

　　We cover it all:

　　Participation in the Employee Stock Purchase Plan

　　Monetary bonuses for engaging in the referral program 

　　Comprehensive medical & family care package   

　　Four trust days per year for personal needs

　　Discounts for fitness clubs

　　Benefits package (hotels, restaurants, stores and services)

　　ABOUT EPAM

　　EPAM Armenia is a team of 900+ talented innovators united by a passion for technology. In 2014, we opened our first office in Yerevan, and now we have a second engineering hub in Gyumri. We've built a continuously learning organization that helps its employees rapidly advance their careers. Here you will work with the world's industry leaders, support impactful projects using the latest technologies, collaborate with multi-national teams, and have access to a wide variety of development opportunitiesEPAM 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.