Do you have a sofware engineering background and strong knowledge in Big Data? Are you an open-minded professional with good English skills? If it sounds like you, this could be the perfect opportunity to join EPAM as a Senior Big Data Engineer.
Our teams work in highly agile working environments for Fortune 1000 clients, following XP practices and best CI/CD practices. We are looking for a Senior Big Data Engineer with open-minded personality, who can join our friendly environment and become a core contributor to our team of experts.

#LI-DNI

Technologies

• Python/Java/Scala/Kotlin and SQL
• Cloud-Native stack: Databricks, Azure DataFactory, AWS Glue, AWS EMR, Athena, GCP DataProc, GCP DataFlow
• Big Data stack: Spark Core, Spark SQL, Spark ML, Kafka, Kafka Connect, Airflow, Nifi, Streamset
• NoSQL: CosmosDB, DynamoDB, Cassandra, HBase; MongoDB
• Queues and Stream processing: Kafka Streams; Flink; Spark Streaming
• Data Visualization: Tableau, PowerBI, Looker
• Operation: Cluster operation, Cluster planning
• Elasticsearch/ELK
• Solid Cloud experience with one of the leading cloud providers (AWS/Azure/GCP): Storage; Compute; Networking; Identity and Security; NoSQL; RDBMS and Cubes; Big Data Processing; Queues and Stream Processing; Serverless; Data Analysis and Visualization; ML as a service (SageMaker; Tensorflow)
• Enterprise Design Patterns (Secure Inversion of Control etc)
• Development Methods (TDD, BDD, DDD)
• Version Control Systems (Git)
• Testing: Component/ Integration Testing, Unit testing (JUnit)
• Deep understanding of SQL queries, joins, stored procedures, relational schemas, and SQL optimization
• Experience in various messaging systems, such as Kafka, RabbitMQ, Event Hub, Pub/Sub
• Rest, Thrift, GRPC
• Build Systems: Maven, SBT, Ant, Gradle
• Docker, Kubernetes

• Develop and implement innovative analytical solutions using Cloud Native, Big Data, and NoSQL related technologies
• Develop and implement Cloud/On-Premise/Hybrid solutions using best in the class data frameworks
• Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions
• Build collaborative partnerships with architects, technical leads and key individuals within other functional groups
• Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution
• Actively participate in code review and test solutions to ensure it meets best practice specifications
• Build and foster a high performance engineering culture, mentor team members and provide team with the tools and motivation
• Write project documentation

• Coding experience with one of the following programming languages: Python/Java/Scala
• Experience with Linux OS: configure services and write basic shell scripts, understanding of network fundamentals
• Good knowledge of SQL and relational algebra
• Advanced experience in software development with Data technologies (e.g. administration, configuration management, monitoring, debugging and performance tuning)
• Engineering experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation, Security
• Experience building data ingestion pipelines, Data Warehouse or Database architecture
• Experience with data modeling; hands-on development experience with modern Big Data components
• Cloud: experience in designing, deploying and administering scalable, available and fault tolerant systems
• Good understanding of CI/CD principles and best practices
• Analytical approach to problem; excellent interpersonal, mentoring and communication skills
• Data-oriented personality and possessing compliance awareness, such as PI, GDPR, HIPAA
• Motivated, independent, efficient and able work under pressure with a solid sense for setting priorities
• Ability to work in a fast-paced (startup like) agile development environment
• Experience in high load and IoT Data Platform architectures and infrastructures
• Vast experience with Containers and Resource Management systems: Docker and Kubernetes
• Experience in direct customer communications
• Solid skills in infrastructure troubleshooting, support and practical experience in performance tuning and optimization, bottleneck problem analysis
• Experienced in different business domains
• English proficiency
• Advanced understanding of distributed computing principles

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certification
• Language courses

• WORK & LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
• CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
• CLEAR & DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
• STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.