Azure Data Engineer

  Job TitleAZURE Data EngineerTotal IT Experience (in Yrs.)7 +Relevant Experience Required (in Yrs.)·       Experience in designing, developing, and maintaining data pipelines using Azure cloud services.·       Hands-on exposure to data ingestion, transformation, and orchestration within Azure environments.·       Practical understanding of data lake, data warehouse, and ETL workflows.·       Support in migrating on-premise data to Azure Cloud environments.·       Collaborate with senior data engineers and architects in solution delivery.·       Apply basic security and performance tuning techniques in Azure data pipelines.·       Work within Agile and DevOps frameworks to ensure quality and timely delivery.Language RequirementEnglishKey words to search in resumeAzure Data Engineer, Azure, Data Factory, Databricks, Synapse, ADLS, Azure SQL, Power BI, Data Pipeline, Python, PySpark, SQL, Cloud, ETL, Data Warehouse, Data Lake, Data Integration, DevOps, CI/CDTechnical/Functional Skills   -MUST HAVE SKILLS·         Hands-on experience with Azure Data Services, including:·       Azure Data Factory (ADF) – pipelines, triggers, and linked services·       Azure Databricks – notebooks, PySpark, Delta Lake basics·       Azure Synapse Analytics or Azure SQL Database·       Azure Data Lake Storage (ADLS) – file system hierarchy and permissions·         Strong skills in SQL and Python for data extraction and transformation.·         Understanding of data ingestion from various on-prem and cloud sources.·         Knowledge of ETL/ELT pipeline design and data modeling fundamentals.·         Basic understanding of DevOps, CI/CD, and version control (Git).·         Awareness of security best practices (IAM roles, Key Vault).·         Exposure to performance optimization, monitoring, and logging in Azure.·        Secondary Skills·         Exposure to Power BI or other reporting tools for data visualization.·         Familiarity with Informatica, ADF Mapping Data Flows, or other ETL tools.·         Understanding of Agile methodologies and collaboration tools (Azure DevOps, JIRA).·         Basic knowledge of data quality and data governance concepts.·         Awareness of containerization (Docker / Kubernetes) and Azure DevOps pipelines.Responsibilities·         Build and maintain data pipelines and ETL workflows using Azure Data Factory and Databricks.·         Support data integration from multiple sources into Azure Data Lake and Synapse environments.·         Work with senior engineers to develop and optimize data transformation scripts in Python or PySpark.·         Participate in data migration and modernization projects to Azure Cloud.·         Ensure proper data validation, error handling, and logging within pipelines.·         Implement basic security configurations using Key Vault and role-based access control.·         Document pipeline design, configurations, and operational procedures.·         Support DevOps-based deployment, CI/CD integration, and version control.·         Troubleshoot and resolve data flow or pipeline issues during development and testing.·         Collaborate with business analysts, architects, and QA teams to ensure end-to-end data delivery.·         Continuously learn new Azure features and tools to improve solution efficiency.