Data Engineer - London, United Kingdom - Jefferson Frank
Description
Data Engineer - £85,000 - Hybrid, London Based
I am working with one of the largest telecommunication companies in Europe, turning over roughly £400 million per annum.
They are looking for Data engineers to work on greenfield projects working with big data and working on end-to-end solutions projects.
Ideal Skill set
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DataLakes:
-
PySpark:
-
SQL:
-
Azure/AWS:
-
Python:
-
Databricks:
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Agile
Role & Responsibilities
- Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.
- Build ETL/ELT and Ingestion pipelines and design optimal data storage and analytics solutions using cloud and onperm technologies.
- Ensure the design, code and procedural aspects of the solution are production ready, in terms of operational, security and compliance standards.
- Participate in daytoday project and product delivery status meetings, and provide technical support for faster resolution of issues.
Skills and Experience
- Demonstrable
design & development experience and experience with
big data technologies like
Spark/Flink and Kafka - Proficient in
Python, PySpark, or Java/Scala.
Hands-on experience with some of the following technologies:
Azure/AWS- Data Lake Projects
- SQL
- ETL/ELT
- Databricks
- Spring/Guice or any other DI framework,
- RESTful Web Services.
- Proficient in querying and manipulating data from various DB (relational and big data).
- Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.
- Experience of using static analysis and code quality tools and building CI/CD pipelines.
Backed by private equity firm TPG Growth, we have a proven track record servicing theAWS recruitment market and, to date, have worked with over 30,000 organizations globally.
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