About the role

  • Data Engineer developing innovative data driven solutions to simplify organization and enhance customer value. Leading design and delivery of scalable data architectures and pipelines for business success.

Responsibilities

  • Building advanced automation of data engineering pipelines through removal of manual stages
  • Embedding new data techniques into our business through role modelling, training, and experiment design oversight
  • Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets
  • Sourcing new data using the most appropriate tooling for the situation
  • Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

Requirements

  • Experience in leading the design and delivery of real time data pipelines using Apache Kafka
  • To architect scalable distributed data processing solutions using Apache Spark
  • Exposure in driving adoption of AWS-native data services such as Kinesis, Glue, EMR, Lambda, DynamoDB, Aurora, S3, and Athena
  • Experience in designing and implementing NoSQL data models like MongoDB, DynamoDB, Cassandra
  • Data warehousing and data modelling capabilities

Benefits

  • Health insurance
  • Retirement plans

Job title

VP, Data Engineer

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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