US|Data Engineer V

Data Engineer The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. Responsibilities: 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 AWS 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. 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 Experience: 10+ years of experience Must have at least two years of experience in delivering Azure data lake solutions Experience with pipeline development Strong DevOps experience Proven experience extracting data from Systems of record and transforming it with ADF and Data Bricks Experience developing SQL DB SQL Pool solutions experience Technology Experience Requirements: Azure Data Factory Azure Data Bricks. Azure Logic Apps Agile & CI/CD Process Ansible Knowledge. Data validation Data Modeling. (At least should have Basic Knowledge) SQL Expertise. Coding Assessment Requirements: Candidate must clear code assessment online proctored exam for one or more of the below. Samprasoft