Data Engineer

Industry: Technology
Remote
Company size: 51-250
Full-time
salary
Not disclosed

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Job description

A rapidly-growing company building a connected commerce platform for the open Internet that seamlessly links advertising, marketing, and customer experience, is looking for a Data Engineer. The selected candidate will be working closely with the algorithm and data sciences team to fine-tune the data architecture and infrastructure. The company is trusted by the world’s most renowned brands for advanced media and technology solutions built on real human behavior. This is a great opportunity for developers to showcase their skills and build a lucrative career.

 

Job Responsibilities:

  • Develop and modify Spark jobs using Scala for various tasks
  • Work with Kinesis streams using Spark Streaming to join and aggregate huge data sets and integrate with third-party data sources
  • Build and ship new features to optimize services to suit evolving business requirements
  • Work as an active and engaged owner of data infrastructures
  • Gain a thorough understanding of all aspects of company business
  • Maintain high coding standards and promote the same by providing code review and feedback to collaborators
  • Diagnose and debug identified issues, problems, and errors across various systems
  • Work closely with Data Science, Product, Research, and Engineering teams to define a development roadmap
  • Help to gather and organize requirements when underspecified

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data engineer
  • Must be able to work with modern technologies like Scala
  • Should possess a deep understanding of Spark development
  • A thorough understanding of AWS-based development is essential
  • Experience in ingesting, processing, storing, analyzing, and working in a big-data environment
  • Familiarity with Athena, S3 data lake, and Parquet will be helpful
  • Knowledge of Spark streaming with Kinesis will be beneficial
  • Ability to optimize jobs for performance and development cost is required

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