Senior Big Data Software Engineer

Do you have a software engineering background and strong knowledge of 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.

EPAM is shaping the digital future for Fortune 1000 companies, building complex solutions using modern technologies. We are looking for a Senior Big Data Engineer with an open-minded personality who can join our friendly environment and become a core contributor to our team of experts.

Responsibilities

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

Requirements

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

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

We offer

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

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

Why Join EPAM
WORK AND 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 AND 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.