Senior Data Engineer
Summary
Senior Data Engineer designing and implementing Azure data solutions, migrating legacy SSIS packages and on-premises workloads to Azure cloud using Data Factory, Synapse, Databricks, ADLS, Python, and SQL.
Design, implement Azure data solutions
Migrations to Azure using services such as Data Factory, Synapse, Databricks, Function App, and ADLS
Migrate legacy SSIS packages to Azure cloud
Integrate data from multiple sources using Python, SQL, Databricks, and data pipelines
Qualifications
10+ years in IT data and cloud engineering
5+ years with Microsoft Azure deployments, administration, and migrations
Experience with Azure Data Lake, Synapse Analytics, Data Factory, Databricks, and Apache Spark
Skilled in building and optimizing pipelines for ingestion, transformation, and analysis of large datasets
Experience in migrating on-premises workloads to Azure using Azure Migrate, ASR, Data Factory, and Azure Database Migration Service
Proficient in SQL, ETL/ELT development, and data modeling (Star Schema, Snowflake Schema)
Knowledge of cloud networking, identity management, and security best practices
Hands-on experience with PowerShell, Azure CLI, ARM templates, and automation tools
Familiarity with CI/CD pipelines, version control, and DevOps methods
Preferred Skills
Microsoft Azure certifications (Data Engineer, Administrator Associate, or equivalent)
Exposure to containerization and orchestration tools such as AKS or Docker
Familiarity with monitoring tools like Azure Monitor, Log Analytics, and Application Insights