Job description

Position: Azure Data Engineer Location: Austin, TX Contract to Hire 4 days per week on-site (Friday is a remote day) NOTE: As per the clients contractual agreement , they need consultants who don't need sponsorship now or in future RESPONSIBILITIES: • Design data pipelines to extract data from different data sources using Azure, Snowflake Cloud, and cloud-native technologies. • Build a data model to get relevant insights from data, operational efficiency, and other essential 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 achieve 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. • Work with the Application Engineering team, DBA, Infrastructure, and Project Management Office. • Analyze existing systems (including legacy) and data sets to help Business Analysts establish the functional and non-functional requirements. • Meet with our users, assist with data-related technical issues, and support their data infrastructure needs. Previous Experience Required: • Background in working with Azure Cloud Services: Data Factory, SQL database, Functions, Data Lake, Databricks, Logic Apps, and Azure Automation. • Experience in building out data piplelines • Advanced working knowledge of SQL Server database - writing advanced SQL script, profiling, and optimization. • Experience creating and using APIs Nice to Have Experience: • Fluent in object-oriented and functional script language: Python, Scala, and C#. • Working knowledge of Business Intelligence tools: Tableau and PowerBI. • Experience with other Big Data tools such as Spark, Snowflake, and Kafka • Preference for background in Financial Services in Wealth Management/Independent Broker Dealer/RIA EDUCATION AND EXPERIENCE: • Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field 4+ years experience in Data Engineering role

Requirements