Senior Data Engineer at Teya, focusing on scalable data product development and architectural design. Join to help build the modern data platform for advanced analytics and AI.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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