Job Description:

Azure Data Engineer

We are seeking an Azure Data Engineer to join our team for an opportunity with our client, UnitedHealth Group. You will be designing and implementing optimal data pipelines/flows from multiple sources using Azure Tech Stack. If you are a confident, skilled, and energetic professional and can complement a blended team, we want to meet you.

Primary Responsibilities:

• Create and maintain optimal data pipelines using ADF, Databricks and Spark to load a SQL tables on the Azure platform.
• Setting up delta lake architecture
• Providing guideance and establishing data governance policies
• Working with MLflow functionality to support advanced analyics and models
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Required Requirements

• Experience in designing end to end data pipelines/flows with automated auditing and monitoring for data quality
• Strong understanding of Data Modeling for OLTP versus OLAP systems and BigData Systems
• 3+ years of experience with Snowflake Data Platform
• 5+ years of experience with ETL (tools such as Informatica, Talend, etc.) and Data Warehousing
• 5+ years of experience with relational databases such as SQL Server and Oracle.
• 3+ years of experience with scripting languages: Python, Shell, etc.
• 2+ years of extensive experience with Azure Data Factory.
• 2+ years of experience in PowerBI
• 2+ years of knowledge/expereince with ML Flow
• 2+ years of experience with big data tools: Hadoop, DataBricks, Spark

Preferred Requirements

• 2+ years Healthcare experience
• Experience working with streams such as Kafka
• Strong understanding of SDLC

Education:

• Bachelor degree in technology, related field or equivalent combination of education and relevant work experience.

Job Types: Contract, Full-time

Pay: From $70.00 per hour

Schedule:

• Monday to Friday

Application Question(s):

• Are you able to work on a 1099 contract?

Experience:

• ADF: 3 years (Required)
• Azure ML Flow: 3 years (Required)
• DataBricks: 3 years (Required)
• SQL: 3 years (Required)

Work Location: Remote

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