Senior Azure Engineer

Senior Azure Engineer

We are looking for passionate data engineers to join our growing Data and Analytics team. Join this exciting journey in modernizing our Advisor solutions to the next-generation cloud platform. You will be responsible for working in a cross-functional team to expand, optimize, and improve overall data quality and set up next generation data orchestration using modern cloud tools and technologies. As a cloud Data Engineer, you will be designing and building secure and resilient architectures, with the goal of providing actionable insights to our Advisors for them to optimize their business.

Essential duties and responsibilities:

• Design and develop data pipelines to extract data from a wide variety of data sources using Azure, Snowflake Cloud, and cloud-native technologies.
• Build a data model to get actionable insights from data, operational efficiency, and other key business performance metrics.
• Design and manage inbound and outbound data processes and monitoring. Work with the data provider to bring in new feed into our data eco-system.
• Enjoy working in Agile as part of a scrum team and deliver high quality product incrementally in an interactive manner.
• Write Test Driven Development based code to meet overall data quality standards as defined by the users.
• Automate the data testing processes and integrate them with monitoring systems.
• You are a team player who enjoys working with and supporting an Application Engineering team, DBA, Infrastructure, and Project Management Office.
• Analyze existing systems (including legacy) and data sets to help Business Analysts define the functional and non-functional requirements.
• Meet with the business users, assist with data-related technical issues, and support their data infrastructure needs.

Knowledge, skills, and/or abilities:

• Strong experience with No
  
  SQL database, including Postgres
• Background in working with Azure Cloud Services:
  Data Factory, SQL database, Functions, Data Lake, Databricks, Logic Apps, and Azure Automation.
• Fluent in object-oriented and functional script language:
  Python, Scala, and C#.
• Advanced working knowledge of SQL Server database - writing advanced SQL script, profiling, and optimization. Working knowledge of Business Intelligence tools:
  Microsoft Integration Services, Reporting Services, and Analysis Services, as well as Power BI.
• Experience with other Big Data tools such as Spark, Snowflake, and Kafka
• Preference for background in Financial Services, ideally in the Wealth Management/Independent Broker Dealer/RIA industry

Education and/or experience:

• Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field.