Azure Data Engineer

Databricks - Data Pipeline Engineer - REMOTE Checklist Microsoft - SQL Azure Expert (12+ years experience) Databricks Expert (12+ years experience) Data Modeling Expert (12+ years experience) DATA ENGINEERING Expert (12+ years experience) Python Expert (12+ years experience) Pyspark Expert (12+ years experience) Skills: - Databricks (Python and SQL/PySpark) - Azure SQL Server (Managed Instance, Azure SQL DB, SQL Server VMs) - Data modeling and ETL/ELT design patterns - Docker and Azure Kuberne

Databricks Engineer The Person You are a detail-oriented and analytical problem solver who enjoys tackling complex data challenges. You communicate clearly and collaborate effectively with cross-functional teams to deliver meaningful, data-driven solutions. You are adaptable, service oriented, curious, and passionate about using modern data technologies to unlock insights. Highly organized and proactive, you can manage multiple priorities while maintaining a strong focus on quality, scalability,

Job Title: Databricks SMERole Summary We are seeking a highly skilled and experienced Databricks SME to lead the architecture, design, and implementation of enterprise-scale Big Data solutions on the Databricks Lakehouse Platform. The ideal candidate will have at least 12 years of hands-on experience architecting big data solutions with Databricks, with proven expertise in migrating data and pipelines from legacy platforms like Alteryx, handling streaming data, and implementing CI/CD practices

Job Title: Data Warehouse/Azure Databricks Developer Duration: 6 months Location : Remote - 100% Primary Skill Required for the Role Databricks - Advanced (6-9 years experience) Additional Skills Requested for Role Azure Advanced (6-9 years experience) Snowflake Intermediate (3-5 years experience) Oracle Intermediate (3-5 years experience)