Инженер данных

EPAM Systems provides software engineering, digital platform engineering, and product design services. The company focuses on delivering complex digital transformation solutions for global clients across various industries, including finance, healthcare, and e-commerce.

• Architect and maintain scalable ETL/ELT pipelines for batch, micro-batch, and streaming data processing systems;
• Build frameworks for optimal extraction, transformation, and delivery of data using technologies like ADF, Spark, and Kafka;
• Identify and implement process improvements, automating workflows and optimizing data infrastructure;
• Design and implement innovative data service solutions leveraging Spring Boot, ReactJS, or other UI and API-related technologies;
• Ensure governance and adherence to delivery management processes;
• Act as a single point of responsibility for delivery-related concerns, including client escalations, contractual changes, and team resource management;
• Provide technical leadership and ensure solutions align with high-quality standards and architecture planning;
• Write user stories and acceptance criteria for agile and scrum workflows;
• Collaborate with cross-functional teams and stakeholders;
• Ensure compliance with delivery methodologies and industry best practices;
• Strategically manage delivery risks;
• Optimize and measure team productivity and throughput;
• Mentor and consult Data Engineering team members;
• Handle production support and deployment activities.

• 3+ Years of experience in a data engineering role;
• Proficiency in Scala, Scala 2, and Scala core;
• Expertise in Apache Spark, Databricks, and SQL;
• Familiarity with data-related tools and services such as ADF and Kafka;
• English B1+;
• Nice to have: Spark Streaming, PySpark, Python, Apache Kafka, Kafka Streams, Azure cloud infrastructure.

• Flexible schedule;
• Provision of necessary equipment;
• Opportunity to change projects and technology stacks;
• Access to professional growth programs, including internal training, certification in AWS, GCP, or Azure, and leadership schools;
• Vacation and sick leave;
• Voluntary Medical Insurance programs with preventive options and family coverage;
• Support during significant life events and mental health services;
• E-kids programming training program for employees' children.