Are you seeking to enhance your Python engineering capabilities and transition into the dynamic world of Big Data? EPAM presents a distinctive opportunity for you to secure a position following a single technical interview and acquire Big Data expertise while retaining your current title and compensation.
This 8-week retraining initiative aims to transition Python engineers to Big Data Engineer roles. The training is structured around three distinct phases: theoretical coursework delivered by industry experts, hands-on practical exercises, and detailed knowledge assessments with personalized feedback. Topics covered include data management, distributed systems, Spark, Kafka, NoSQL databases, and cloud-native services, providing a comprehensive foundation in data processing technologies. The entire training is conducted online, allowing attendees to participate from anywhere.

• Get acquainted with Big Data and Hadoop: Develop a robust foundation in Big Data concepts, dive into the mechanics of Hadoop, explore real-world applications, and examine data characteristics and deployment trends
• Acquire knowledge of DevOps practices: Learn the fundamentals of DevOps, including the aspects of continuous integration and continuous deployment (CI&CD), and its impact on streamlining software development and operations
• Gain expertise in Data Modeling and Architectures: Absorb essential data modeling techniques vital for Data Engineers and Architects to efficiently organize and decipher complex data systems
• Explore Apache Spark: Expand your understanding of Spark through comprehensive coverage of its architecture, components, and uses including Spark SQL, Spark ML, and Spark Streaming
• Understand Kafka's fundamentals: Explore the basics of Kafka and delve into Kafka Connect and Kafka Streams for managing real-time data feeds and stream processing
• Experience Elastic Stack and NoSQL databases: Engage with Elastic Stack for real-time data search, analysis, and visualization, and investigate NoSQL databases for handling vast amounts of varied data
• Learn about Data Flow and Pipelining: Discover key data movement techniques and utilize tools like NiFi and Streamsets for efficient data collection, flow, and processing
• Comprehend Orchestration and Scheduling: Master the concept of orchestration to manage complex workflows using tools such as Airflow and Jenkins

• Qualifications in Python, SQL, and cloud platforms (AWS, GCP, Azure)
• Background in Databricks, Spark, Docker, and Kubernetes is preferred
• Minimum 3 years of production experience in IT at Level Middle+
• English proficiency at B1+ level or higher

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children