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, NoSQL databases, and cloud-native services, the program offers a robust foundation in data processing platforms. Training is fully online, allowing participants to engage remotely.
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The remote option applies only to the Candidates who will be working from any location in Ukraine.
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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 DevOps Practices: Familiarize yourself with the basics of DevOps, 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 NoSQL: Get hands-on experience with Elastic Stack for searching, analyzing, and visualizing data in real time, and explore NoSQL 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 NiFi 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
- 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
- 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