Company:
Dice
Location: New York
Closing Date: 28/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Title: Azure Data Engineer
Location: NYC - 3 days Onsite
Duration: 6 months
Additional Details:
- Data Engineering
- Hands-on position
- Hit the ground running
- Experience in Financial or Banking Industry
- Engineer to build out data plans on Azure Cloud
- Agile Team
- Understand the business requirements
- Cross Functional stakeholder view
- Work with compliance and security team
- Capturing Marsh side of the business
- Collecting revenue data for brokers
- Build a very flexible data capture system
- BAU functionality
- 15 people aligned within the team
What are the applications to be supported? Azure, Python
Soft Skill requirements (team fit/personality requirements):
- Trustworthy
- Team player (Cross Functional)
We are seeking a highly skilled and motivated individual for a Data Engineer position with expertise in Python ETL and Azure experience. The candidate will contribute to our team and help drive our data engineering initiatives.
Job Requirements:
- Python ETL: Strong proficiency in Python programming language and experience in Extract, Transform, Load (ETL) processes. Ability to design and develop efficient ETL workflows.
- Azure Experience: Hands-on experience working with Microsoft Azure cloud platform, familiar with Azure services and tools, and a good understanding of Azure architecture and best practices.
- Azure Data Factory, DataBricks, Azure Storage, and Azure VM: Practical experience with Azure Data Factory, DataBricks, Azure Storage, and Azure Virtual Machines. Ability to design and implement data pipelines using Azure Data Factory.
- Data Governance, Data Quality, and Controls: Strong understanding of data governance principles, data quality management, and data controls. Ability to implement data governance frameworks and ensure compliance with data regulations.
- Implementing alerts and notifications for batch jobs: Experience in setting up alerts and notifications for batch jobs. Ability to configure monitoring and alerting mechanisms.
Additional Notes:
- Underlying work is helping migrate current pipeline from the server into Azure Data Factory.
- Location: 1166 Avenue of the Americas (NYC)
- ETL and Azure Data Factory pipelines
- Goal is to use AI techniques to solve problems.
- Python is very important for this role.
- A lot of pipelines on the team are generated through AI as code.
- Reporting into Martin, but a very flat team structure.
Azure Data Engineer Only W2
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