Data Engineering Specialist

1 week ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $110,000 - $145,000
Data Engineering Specialist

The role of the Data Engineer involves working closely with colleagues and stakeholders to design and implement data integration solutions that meet business requirements, utilising Microsoft Azure tools.

This includes:

  • Developing, implementing and maintaining efficient ETL pipelines for secure data transfer between various systems.
  • Designing and maintaining accurate, consistent and available data models, while considering scalability and performance optimizations.
  • Implementing data validation and quality checks to identify and rectify anomalies, errors and inconsistencies within integrated systems.
  • Continuously monitoring and optimising data integration processes to enhance performance, reduce latency and minimize resource consumption.
  • Maintaining comprehensive documentation for data integration solutions.

This position requires:

  • A strong understanding of Microsoft Azure Data Factory and experience in its application.
  • Proven expertise in data engineering, including data integration, ETL processes and data modelling.
  • Strong SQL skills and experience with data warehousing concepts.
  • A deep understanding of data governance, security and compliance best practices.
  • Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.

By joining this organisation, you will have the opportunity to utilise your technical skills and experience to drive business growth and success.

About This Role

This is a challenging and rewarding opportunity for an experienced Data Engineer looking to take their career to the next level.

Responsibilities

The successful candidate will be responsible for designing, developing and implementing data integration solutions using Microsoft Azure tools. They will work closely with the development team to ensure seamless integration and effective data processing.

Requirements

To succeed in this role, you must have a proven track record of delivering high-quality data engineering solutions, as well as excellent communication and collaboration skills.

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