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
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