What are the responsibilities and job description for the Azure Data Engineer position at Stanford Technology Partners Inc.?
Strong PL / SQL coding skills & python programming skills, data modeling, snow flake and DBT.5 years of experience in Azure SQL Server / Azure Data Factory5 Data modeling experience Experience in designing / implementing APIs / MicroservicesFamiliarity with Agile work practices (backlog, scrum ceremonies etc.) and associated tools (Rally etc)Strong analytical and critical decision-making skillsResponsibilitiesWork closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions.Implement data migration and data engineering solutions using Azure products and services : (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Data bricks, etc.) and traditional data warehouse tools.Perform multiple aspects involved in the development lifecycle - design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support. Minimum Qualifications- Education Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience / training.Hybrid role,In-person interview after 1st round of interview if short-listed. Please sendc resumes to hima@stpincusa.com
