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Recruitment Manager at Hays I NSW Technology
A leading banking client is looking for a Staff Data Engineer to join the ever evolving Business Banking portfolio.
You will be joining highly driven DevSecOps engineers team who are designing, developing and delivering business critical features on key product that is part of the payment ecosystem.
We’re interested in hearing from people who
* Have solid hands-on experience in Cloudera Data Platform and large migration programs from on-prem to Cloud
* Are knowledgeable of Data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake
* Are passionate about building next generation Data platforms and Data pipeline solution across the Bank
* Have got proven track record of Agile delivery including leading and working on end-to-end delivery of project
* Are confident in their understanding of Data modelling, schema design, and Data architecture principles
* Are confident leading, directing, coaching and guiding engineers
* Pride themselves in driving pragmatic and fit for purpose solutions with high technical quality
* Have solid hands-on experience with building Spark-based pipelines
* Are pro-actively looking for ways to provide feedback and contribute towards Engineering and automation uplift to the Product.
* Are constantly thinking creatively and breaking boundaries to solve complex Data problems
* Have solid understanding of DevOps practices and tools for CI/CD (e.g., Github, Jenkins, Docker, Kubernetes)
* Are knowledgeable of Data governance practices, Data privacy regulations, and Security measures
A broad range of tools, languages, and frameworks. (We do not expect you to know them all but experience or exposure with some of these, or a willing to learn these skillsets (or equivalents) will set you up for success in this team)
* Hadoop ecosystem (HDFS, MapReduce, YARN)
* Programming using Advanced SQL
* Proficiency in Spark for large-scale data processing
* AWS Cloud services experience and certification
* Deep understanding and experience (preferred) with Kafka for real-time data streaming
* Dealing with complex File formats and structures
* Traditional Data warehouse concepts (Facts/Dims, normalization).
* Redshift
* Glue ETL
* S3
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
Seniority level
* Seniority level
Not Applicable
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Banking
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