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Senior Data Engineer
hace 2 meses
We are seeking a highly skilled Senior Data Engineer to join our team at EPAM Systems. As a Senior Data Engineer, you will play a key role in designing, developing, and implementing innovative analytical solutions using Cloud Native, Big Data, and NoSQL related technologies.
Key Responsibilities- Develop and implement Cloud/On-Premise/Hybrid solutions using best-in-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 solutions
- Actively participate in code review and test solutions to ensure they meet best practice specifications
- Build and foster a high-performance engineering culture, mentor team members, and provide the 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-solving; excellent interpersonal, mentoring, and communication skills
- Data-oriented personality and possessing compliance awareness, such as PI, GDPR, HIPAA
- Motivated, independent, efficient, and able to 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
- 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)
EPAM is a leading digital transformation services and product engineering company with over 52,800 EPAMers in more than 55 countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world.
Why Join EPAM- 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