Senior Big Data Software Engineer

hace 3 semanas

Málaga, España Epam Systems A tiempo completo

DESCRIPTION

Do you have a software 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 an open-minded personality, who can join our friendly environment and become a core contributor to our team of experts.

WHAT YOU'LL DO

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 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

WHAT YOU HAVE

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

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

OUR BENEFITS INCLUDE

Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certification

Language courses

ABOUT EPAM

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. In 2018, we opened an office in Spain that quickly grew to over 1,450 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

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

ADDITIONAL

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