Consortio Sourcing is searching for an experienced Data Engineers with PySpark experience to work on a new initiative for a Major Financial Services organization based in Melbourne. This is an exciting opportunity for experienced to work with a talented and bright team who are committed to delivering world-class technology solutions for their customers.
Key Responsibilities
Design, construct, install, test and maintain data pipelines across various layers in the data lake and presentation layer
Employ pyspark, sql in the code. Experience with a data processing engine like Databricks or EMR or equivalent
Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project's goals.
Recommend different ways to constantly improve data reliability and quality.
Devops knowledge and experience - pipelines and cicd
Generic pipelines and frameworks for jobs and ingestion, curation etc
Overview
Experience of building data and analytics platforms with structured and un-structured data sources
Design, construct, install, test and maintain data pipelines across various layers in the data lake and presentation layer
Build high-performance algorithms, and prototypes around ETL data movement and ML models
Hands-on experience with unit testing automation, regression testing suite and automated test data generation
Employ pyspark, sql in notebooks. Experience with a data processing engine like Databricks or EMR or equivalent
Collaborate with members of team (eg, data architects, the IT team, data scientists) on the project's goals
Recommend different ways to constantly improve data reliability and quality
Data modelling experience - Kimball, Inmon, vault models
Devops, git integration, automation of ci/cd pipelines
Agile processes
Implementation of Streaming analytics solutions
IoT, Event based triggers(Pub-Sub) systems
Azure experience
On offer is a 6-month contract paying c.$900.00 p.d inc. super and the opportunity to work on a high profile project for a large well known Fin. Services customer in the CBD.