Lead Azure Data Engineer
# Lead Azure Data Engineer **Info Resume Edge** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Azure-Data-Engineer]` `[Data-Engineer]` `[Lead-Data-Engineer]` `[Cloud-Data-Engineer]` `[Lead-Azure-Data-Engineer]` `[Senior-Azure-Data-Engineer]` `[Azure-Data-Strategy-Lead]` `[Azure-Data-Platform-Engineer]` `[Data-Engineering-Lead]` `[Data-Engineering-(Azure)]` --- ### About the Role Key Responsibilities - Participate in the modernization and migration of current Azure data and analytics systems to the Databricks Lakehouse Platform . - Support Databricks platform enablement, configuration, and deployment activities. - Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Azure Functions, and Databricks. - Build scalable data integration solutions across Azure Data Lake, Azure SQL Database, Azure Storage (Blob/File) , and Databricks. - Assist in optimizing ingestion and transformation processes for performance, reliability, and cost efficiency. - Migrate legacy data pipelines, workflows, and processing logic into Databricks notebooks or Delta pipelines. - Work with cross-functional teams to understand business requirements and translate them into technical solutions. - Ensure all solutions comply with Marsh MMA standards for security, governance, and data quality . - Perform data validation, unit testing, troubleshooting, and system performance tuning. - Document architecture, workflows, design decisions, and operational procedures. Required Technical Skills - Strong hands-on experience with: - Azure Data Factory (ADF) - SQL / T-SQL - Azure Functions - Azure SQL Database - Azure Data Lake (ADLS Gen2) - Azure Storage (Blob / File) - Databricks (Notebooks, Delta Lake, Spark) Qualifications - Bachelors degree in Computer Science, Data Engineering, Information Technology, or related field. - Proven experience working with cloud-based data engineering solutions, preferably in Azure ecosystems. - Experience supporting cloud migration or modernization initiatives is a plus. - Strong understanding of ETL/ELT concepts, data modeling, and distributed data processing. Soft Skills - Strong analytical and problem-solving mindset. - Excellent communication and documentation abilities. - Ability to collaborate with cross-functional teams across technical and business domains. - Detail-oriented with a focus on quality and compliance. Originally posted on Himalayas
- Azure-Data-Engineer
- Data-Engineer
- Lead-Data-Engineer
- Cloud-Data-Engineer
- Lead-Azure-Data-Engineer
- Senior-Azure-Data-Engineer
- Azure-Data-Strategy-Lead
- Azure-Data-Platform-Engineer
- Data-Engineering-Lead
- Data-Engineering-(Azure)
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).