Big Data Engineer

☞ EPAM Systems

View: 108

Update day: 01-06-2024

Location: Chester North West

Category: Quality Assurance / Quality Control IT - Software High Technology Mechanical / Technical Electrical / Electronics

Industry: Software Development

Position: Mid-Senior level

Job type: Full-time

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Job content


Description

Do you enjoy solving complex problems for enterprise clients and leading brands as part of a team? Does Big Data & Analytics inspire you? Do you have what it takes to help shape and grow an important department for EPAM?

Then you have a fantastic opportunity to join a multi-disciplinary team of engineers, architects, designers, and strategists as we continue to grow our Data & Analytics practice across Europe.

We do not believe in collecting data without purpose. Analysis by seasoned experts can bring actionable information to organizations when they need it most. Whether our clients are looking to make better decisions for business development or create platforms and solutions that utilize data to streamline and improve operations—we are data-driven, business outcome oriented and we want to help our clients and partners by delivering innovative solutions to their most challenging problems.

What You’ll Do

  • Contributing to the success of our customer projects
  • Building and maintaining data pipelines and data platform solutions in public clouds like AWS, Azure or GCP
  • Development of data pipelines and migration of data from on-premise to public clouds and building components for central enterprise data platforms
  • Design and implementation of new business requirements

What You Have

  • 9 months + experience working with Databricks commercially
  • 6 months + experience coding with Spark
  • Advanced knowledge one of language: Java, Scala, Python, C#
  • Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow
  • Exposure to at least one cloud: Google Cloud Platform, Amazon Web Services, Azure

Nice to have

  • Spark Streaming
  • Kafka Streaming/Kafka Connect
  • Snowflake
  • ELK Stack
  • Docker/Kubernetes
  • Cassandra/MongoDB
  • CI/CD: Jenkins, GitLab, Jira, Confluence other related tools
  • Cloud or Databricks Certifications

We offer

  • We offer a range of benefits including
  • A competitive group pension plan, life assurance and income protection
  • Private medical insurance, private dental care and critical illness cover
  • Cycle scheme Tech scheme and season ticket loan
  • Employee assistance program
  • Unlimited access to LinkedIn learning solutions
  • EPAM Employee Stock Purchase Plan (ESPP) (subject to certain eligibility requirements)
  • Various perks such as Gym discount, Friday lunch, on-site massage and regular social events
  • Some of these benefits may be available only after you have passed your probationary period
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Deadline: 16-07-2024

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