data engineer in staffing and recruiting

Senovo IT Ltd operates in staffing and recruiting.

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions using Azure services;
• Build and optimize data processing workflows using Azure Databricks, Apache Spark, and Python;
• Develop and manage enterprise data integration solutions using Azure Data Factory (ADF) and SQL Server Integration Services (SSIS);
• Design and implement data storage solutions using Azure Data Lake Storage Gen2 (ADLS Gen2) and Azure Synapse Analytics;
• Perform advanced SQL development, query tuning, and performance optimization for large datasets;
• Collaborate with business stakeholders, analysts, and architects to understand data requirements and deliver robust solutions;
• Implement data quality, security, governance, and monitoring processes;
• Participate in code reviews, version control management, and deployment activities using Git;
• Troubleshoot and resolve data pipeline failures, performance bottlenecks, and production issues;
• Follow best practices for cloud architecture, data modeling, and engineering standards.

• Strong hands-on experience with Azure Synapse Analytics;
• Expertise in Azure Databricks;
• Experience with Azure Data Factory (ADF);
• Strong knowledge of SQL Server Integration Services (SSIS);
• Advanced SQL programming and query optimization;
• Deep understanding of Apache Spark for batch and distributed data processing;
• Proficiency in Python for data engineering and automation;
• Experience with Git version control;
• Knowledge of Azure Data Lake Storage (ADLS Gen2);
• Strong analytical, troubleshooting, and problem-solving skills;
• Excellent communication and stakeholder management abilities.

• Contract employment.