AI Data Engineer 2

Join our dynamic team where you will play a vital role in ensuring data hygiene and quality across our systems. You will collaborate with various teams in Azure to analyze data, identify gaps, and curate information for enhanced decision-making. Your expertise will drive process automation and efficiency improvements, contributing to our success in data management and reporting. Responsibilities Conduct daily data analysis to identify gaps and maintain data hygiene in source systems, working closely with Azure teams. Identify data sources and prepare queries using languages such as Kusto and SQL for data extraction and report preparation in Azure Data Explorer or Power BI. Design processes, data models, and reports to surface insights related to change management and various workstreams. Collaborate with services and Azure Teams to capture learnings from incidents, storing them centrally for consistent retrieval. Propose, plan, and expedite identified process automations to improve efficiency. Track and analyze incidents daily to understand causation and associations with deployments, providing updates to the team. Provide feedback on recommended data improvements and follow up within program workstreams. Plan and create efficient techniques to transform raw data into compatible formats for downstream data sources, databases, and tools. Ensure data quality and completeness using queries, data wrangling, and statistical techniques, merging data into distributed systems for further processing. Requirements Proficient in writing Kusto queries and improving performance of existing queries, with knowledge of structured and non-structured databases. Skilled in developing data models to create insightful reports using Azure Data Explorer, Power BI, or relevant BI tools. Experienced in using analytics to discover, interpret, and communicate meaningful patterns in complex datasets for effective decision-making. Ability to identify trends, patterns, and relationships in data to analyze information and draw accurate conclusions. Proficient in developing Power Apps, Power Automate flows, and Lens jobs for data retrieval, storage, or other required automations. Strong communication skills to effectively collaborate with Azure teams on troubleshooting, data analysis, and reporting. Candidate Requirements Years of Experience Required: 2-4 years in business analytics, data science, software development, data modeling, or data engineering. Degrees or Certifications: Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field. A Master's Degree is preferred. Best vs. Average: The best candidate will have experience with Kusto Query Language, Python, Power BI, Azure Data Explorer, Power Apps/Power Platform. Performance Indicators: Performance will be assessed based on meeting deadlines, quality of work, quick assistance on urgent requests, and feedback from the team. Top Hard Skills Minimum 2 years experience with Kusto Query Language Minimum 2 years experience with Python Minimum 2 years experience with Azure Data Explorer Minimum 2 years experience with Power BI Minimum 2 years experience with Power Apps/Power Platform This role is 100% onsite.