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Senior Big Data Software Engineer

hace 2 meses

Málaga, Málaga, España Epam A tiempo completo
About the Role

We are seeking a highly skilled Senior Big Data Software Engineer to join our team at EPAM. As a Senior Big Data Software Engineer, you will be responsible for 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 it meets 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.
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 problems; 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.
Preferred Technologies
  • 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.
About EPAM

EPAM is a leading digital transformation services and product engineering company with over 53,000 EPAMers in more than 55 countries and regions. Since our inception, our multidisciplinary teams have been helping make the future real for our clients and communities around the world.

In 2022, we opened an office in Spain that quickly grew to over 1,000 EPAMers distributed between the offices in Málaga and Madrid 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.