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
Discounts in local language schools, including online courses for the Kazakh language
We cover it all:
Participation in the Employee Stock Purchase Plan
Monetary bonuses for engaging in the referral program
Comprehensive medical care package
Six trust days per year (sick leave without a medical certificate)
Coverage of psychology sessions of your choice
Discounts for fitness clubs and sports programs
Benefits package (hotels, tech stores, food delivery)
ABOUT EPAM
EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM Kazakhstan received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovationEPAM 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.