Data Engineering Specialist
1 week ago
We are seeking an experienced Data Engineering Specialist to join our team in designing, developing and maintaining data integration solutions that connect our on-premises and cloud-based enterprise applications. Leveraging Microsoft Azure tools and technologies, you will create efficient data pipelines, ensure data quality, optimise performance, and adhere to security and compliance standards.
This role involves collaborating with cross-functional teams to support our systems through testing and quality assurance, monitoring, troubleshooting and issue resolution.
Key Responsibilities
- Designing data integration solutions that meet business requirements using Microsoft Azure tools such as Azure Data Factory and SQL.
- Developing, implementing, and maintaining ETL pipelines to ensure efficient and secure data transfer between various systems, adhering to best practices for data processing and transformation.
- Designing and maintaining data models, ensuring data accuracy, consistency, and availability while considering scalability and performance optimisations.
- Implementing data validation and quality checks to identify and rectify data anomalies, errors, and inconsistencies within integrated systems.
- Continuously monitoring and optimising data integration processes to enhance performance, reduce latency, and minimise resource consumption.
To be successful in this role, you will require:
- Strong Microsoft Azure Data Factory skills and experience.
- Proven experience in data engineering, including data integration, ETL processes, and data modelling.
- Strong SQL skills and experience with data warehousing concepts.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
We are face2face Recruitment, a leading recruitment agency specialising in IT and technical roles. We pride ourselves on providing exceptional service to both our clients and candidates, and we are committed to finding the best talent for our clients' businesses.
Estimated Salary: $130-$150 per hour (inc super)
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