Aws Data Engineer - London, United Kingdom - Jefferson Frank
Description
This is an opportunity for someone who is interested in Machine Learning technologies. You will be given guidance and training on said technologies to increase your skill set.About You
- Expert in data modelling, data warehousing and building scalable data pipelines.
- Strong commercial experience as a data engineer working on a wide variety of projects, within an inhouse function.
- Proficient in SQL, Python, AWS,
Big Query:
capable of writing, tuning, testing, and troubleshooting the code.
- Expert in the data modelling and fully tested ETL pipeline development.
- Excellent data management practice, such as datasets versioning, dictionary keeping, data documentation.
What Helps to Stand Out:
- Previous experience in building distributed systems for data extraction, ingestions and processing multiple resources.
- Previous experience in leading medium to largescale data warehousing and analytics using AWS. technologies such as Redshift, S3, EC2, Kafka, Glue, Athena, and other big data technologies
- Proficient in Python, Scala or Spark plus but not essential.
- Proficient in Unix environment.
- Previous experience with working with data scientists strong plus but not essential.
Benefits:
- £70,000
- Free travel
- Healthcare
- Pension
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