Job Description
Job Description
APPLY NOW - AMAZING DATA ENGINEERING OPPORTUNITY WITH GLOBAL COMPANY
MUST BE LOCAL TO NEW YORK, NY
HYBRID ROLE
Job Title : Data Engineering
Location : New York - 1166
Duration : 6 months
Hours : 9 : 00 - 5 : 00 EST
Contract to hire : TBD
Remote or Onsite : 3 Days (Wednesday)
Interview process : 2 rounds of zoom interviews; 1st panel interview Ideal start date : ASAP
Education : N / a
Experience : 8-10 years' experience
Details :
- Data Engineering
- Hands-on position
- Hit the ground running
- Should be able to start building very quick 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 the company side of the business Collecting revenue data for brokers Build a very flexible data capture system BAU functionality15 people aligned within the team
What are the applications to be supported?
AzurePythonAdditional Requirement : DataBricksSoft Skill requirements (team fit / personality requirements)
TrustworthyTeam playerCross FunctionalHere is the job requirement for a Data Engineer position with expertise in Python ETL and Azure experience. We are seeking a highly skilled and motivated individual who can contribute to our team and help drive our data engineering initiatives.
Job Requirements
ETL : The ideal candidate should have strong proficiency in Python programming language and experience in Extract, Transform, Load (ETL) processes. They should be able to design and develop efficient ETL workflows to extract data from various sources, transform it as per business requirements, and load it into target systems.Azure Experience : The candidate should have hands-on experience working with Microsoft Azure cloud platform. They should be familiar with Azure services and tools, and have a good understanding of Azure architecture and best practices.Azure Data Factory, DataBricks, Azure Storage, and Azure VM : The candidate should have practical experience with Azure Data Factory, DataBricks, Azure Storage, and Azure Virtual Machines. They should be able to design and implement data pipelines using Azure Data Factory, perform data transformations and analytics using DataBricks , and manage data storage and virtual machines in Azure.Data Governance, Data Quality, and Controls : The candidate should have a strong understanding of data governance principles, data quality management, and data controls. They should be able to implement data governance frameworks, establish data quality standards, and ensure compliance with data regulations and policies.Implementing alerts and notifications for batch jobs : The candidate should have experience in setting up alerts and notifications for batch jobs. They should be able to configure monitoring and alerting mechanisms to ensure timely identification and resolution of issues in batch job execution.
