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MI Analyst- Insurance
Lorien
London
Hybrid
GBP 100,000 - 125,000
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Job summary
An innovative firm is seeking an MI Analyst with strong Azure expertise to join their team for a 6-month contract. In this hybrid role, you will design and maintain robust data pipelines, leveraging your SQL and Python skills to ensure efficient data workflows. Collaborating with cross-functional teams, you will implement CI/CD pipelines and manage scalable data solutions, while ensuring data integrity and security. This is a fantastic opportunity to contribute to impactful projects within the insurance sector, enhancing your skills in a dynamic environment.
Qualifications
- Strong SQL and Python skills required, especially with PySpark.
- Experience with Azure Data Services and CI/CD pipelines is essential.
Responsibilities
- Design and maintain data pipelines for efficient data ingestion.
- Collaborate with teams to ensure data integrity and security.
Skills
SQL
Python (PySpark)
Azure Data Services
CI/CD pipelines
Database management
Data ingestion best practices
Insurance experience
Fabric
Purview
PowerBI
Tools
Azure Data Factory
Databricks
Synapse
Data Lakes
Job description
MI Analyst- Insurance
We are recruiting for an MI Analyst with Azure experience to join one of our Insurance clients on a 6-month contract.
Inside IR35
Hybrid
Responsibilities:
- Design, build, and maintain robust data pipelines to curate and ingest data efficiently.
- Work with Azure cloud services to deploy and manage scalable data solutions.
- Implement and maintain CI/CD pipelines for seamless data workflows.
- Collaborate with cross-functional teams to ensure data integrity, security, and accessibility.
Skills:
- Strong SQL skills.
- Strong programming skills in Python (PySpark).
- Hands-on experience with Azure Data Services (Azure Data Factory, Databricks, Synapse, Data Lakes etc.).
- Experience with CI/CD pipelines for release management.
- Experience in database management.
- Knowledge of best practices in data ingestion, transformation, and curation (Dimensional modelling & Medallion schema).
- Insurance experience.
- Fabric experience.
- Purview experience.
- PowerBI experience.
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