Are you ready to elevate your Python engineering skills and transition into the exciting field of Big Data? EPAM is offering a unique opportunity where you can secure a position after a single technical interview and gain Big Data expertise without affecting your title or compensation.
This 8-week retraining program is designed to transition Python engineers into the role of Big Data engineer. The curriculum is divided into three key phases: theoretical coursework led by production specialists, hands-on projects or practical tasks, and comprehensive knowledge assessment with feedback. Covering essential topics such as data management, distributed systems, Spark, Kafka, No SQL databases, and cloud-native services, the program offers a robust foundation in data processing platforms. Training is fully online, allowing participants to engage remotely.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

RESPONSIBILITIES

• Explore Big Data and Hadoop: Gain a solid understanding of Big Data concepts, delve into Hadoop's infrastructure and real-world applications, and learn about data characteristics and deployment trends
• Understand Dev Ops Practices: Familiarize yourself with the basics of Dev Ops, including continuous integration and continuous deployment (CI&CD), and how these practices streamline software development and operations
• Master Data Modeling and Architectures: Learn the essential techniques and levels of data modeling, crucial for Data Engineers and Architects, to effectively manage and interpret complex data structures
• Dive into Apache Spark: Deepen your knowledge of Spark with detailed explorations of its architecture, components, and various functionalities including Spark SQL, Spark ML, and Spark Streaming
• Harness the Power of Kafka: Understand the fundamentals of Kafka, and explore Kafka Connect and Kafka Streams to manage real-time data feeds and perform stream processing
• Leverage Elastic Stack and No SQL: Get hands-on experience with Elastic Stack for searching, analyzing, and visualizing data in real time, and explore No SQL databases to manage large volumes of structured, semi-structured, and unstructured data
• Implement Data Flow and Pipelining: Learn about data movement essentials and tools like Ni Fi and Streamsets for effective data collection, flow, and processing
• Navigate Orchestration and Scheduling: Understand the role of orchestration in managing complex workflows using tools like Airflow and Jenkins

REQUIREMENTS

• Proficiency in Python, SQL, and cloud platforms (AWS, GCP, Azure)
• Experience with tools like Databricks, Spark, Docker, and Kubernetes is a plus
• 3+ years of production experience in IT at Level Middle+
• English proficiency at B1+ or above

WE OFFER

• 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 Linked In 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