Azure Data AnalystEngineer

Location: Seattle preferred remote is fine

Duration: 6 to 12 Months

Along with the Azure skillset we need person experience in Azure ML and AI skillset as well.

Required skill set:

• Intermediate to expert level experience in Microsoft SQL Server Writing Complex Queries; Debug existing Stored procedure; DB Performance improvement; Developing quality audits
• Intermediate level experience in PowerBI and Excel (VBA Lookups pivots etc.)
• Working knowledge on Azure stack Synapse Spark/Python SQL Azure Azure Data Factory (ADF) Ability to quickly ramp up on Azure
• Experience working on project management tools like Azure DevOps (ADO) JIRA etc.
• Excellent analytical and problem solving skills
• Ability to work in Agile environment deal with ambiguity and critical thinking to achieve the expected results within SLAs
• Excellent communication skills and ability to work with customer stakeholders and crossfunctional teams by effectively understanding the business requirements

Preferred skills:

• Prior experience in Microsoft landscape or corporate finance space is preferred.
• Experience working with multigeographical teams and in onshoreoffshore model
• Willingness to learn new technologies.

Job description:

• Write test and schedule audits for data validations reports using SQL Stored Procedures Views and Functions
• Collecting and analyzing large and complex data sets
• Validating data to ensure accuracy and completeness.
• Conducting adhoc analysis solving data discrepancies and generating actionable business insights.
• Extending support on production issues during nonbusiness hours as needed.
• Understand data lineage data quality and relationships.
• Monitor ETL jobs and respond to any job failures.
• Perform data engineering related activities e.g. developing and enhancing tools/solutions/processes based on data analysis and/or new customer requirements.
• Development support for platforms and applications assigned.
• Ability to work on Level 2 Service Requests from business users.
• Document knowledge base articles for Tier1 and Tier2
• Dedicate 20%30% of time for Development efforts Automation of operational activities data quality checks application feature development develop tabular models bug fixes and reporting.
• Work with customer stakeholders and team members for performance improvement and suggestions.
• Rampup on new Azure skills as per the project demands.