Scope of Work: Responsible for designing, developing, and maintaining Azure-based data pipelines using ADF and Databricks, including ETL/ELT workflows, Spark SQL processing, and Azure SQL integration, while ensuring data quality, performance optimization, and reliable data delivery. Works on monitoring, troubleshooting, and resolving pipeline and cluster issues, and collaborates with DevOps teams using Azure DevOps, Git, CI/CD, and monitoring tools like Azure Monitor and Log Analytics to support stable and scalable data operations. Required Skills Strong knowledge of Azure services: Azure Data Factory (ADF) Azure Databricks Azure SQL Spark SQL Understanding of: ETL / ELT concepts Data ingestion patterns Data warehousing Experience in: Troubleshooting pipeline failures Cluster issues Performance bottlenecks Familiarity with: Azure DevOps Git version control CI/CD pipelines Knowledge of monitoring tools: Azure Monitor Log Analytics Databricks logs
Backend Engineer – Kotlin, Microservi...