Associate Software Engineer- MSBI

Mandatory Skills: Strong verbal and written communication skills with regular progress reporting and status updates. Effective task, time, and deadline management. Ownership, accountability, and willingness to seek clarification and support when required. Strong teamwork and collaboration skills. Active participation in project discussions, meetings, and documentation activities. Professional conduct, attention to detail, and commitment to quality. Positive attitude, analytical thinking, and problem-solving mindset. Preferred Skills: Strong analytical, logical reasoning, and problem-solving abilities. Familiarity with Agile methodologies and Git/version control systems. Good documentation, testing, debugging, and troubleshooting skills. Openness to feedback, peer reviews, and continuous improvement. Ability to understand business requirements and translate them into data-driven solutions. Strong understanding of data quality, accuracy, and reporting best practices. Proactive approach toward identifying data optimization and automation opportunities. Growth mindset with continuous learning through certifications, training, and skill-development initiatives. Technical Skills: Working knowledge of Microsoft SQL Server and T-SQL. Understanding of MSBI technologies including SSIS, SSRS, and SSAS. Experience in ETL development, data extraction, transformation, and loading processes. Knowledge of data warehousing concepts, data modeling, and database design principles. Familiarity with performance tuning, query optimization, and troubleshooting techniques. Experience working with relational databases and large datasets. Understanding of report development, dashboard creation, and business intelligence concepts. Familiarity with Power BI and integration with MSBI solutions. Knowledge of data governance, security, and data quality principles. Exposure to Azure Data Services such as Azure Data Factory, Azure SQL Database, Synapse Analytics, and cloud-based data solutions is an added advantage. Working knowledge of AI-assisted development tools for coding, debugging, testing, documentation, and productivity enhancement. Mandatory Skills: Strong verbal and written communication skills with regular progress reporting and status updates. Effective task, time, and deadline management. Ownership, accountability, and willingness to seek clarification and support when required. Strong teamwork and collaboration skills. Active participation in project discussions, meetings, and documentation activities. Professional conduct, attention to detail, and commitment to quality. Positive attitude, analytical thinking, and problem-solving mindset. Preferred Skills: Strong analytical, logical reasoning, and problem-solving abilities. Familiarity with Agile methodologies and Git/version control systems. Good documentation, testing, debugging, and troubleshooting skills. Openness to feedback, peer reviews, and continuous improvement. Ability to understand business requirements and translate them into data-driven solutions. Strong understanding of data quality, accuracy, and reporting best practices. Proactive approach toward identifying data optimization and automation opportunities. Growth mindset with continuous learning through certifications, training, and skill-development initiatives. Technical Skills: Working knowledge of Microsoft SQL Server and T-SQL. Understanding of MSBI technologies including SSIS, SSRS, and SSAS. Experience in ETL development, data extraction, transformation, and loading processes. Knowledge of data warehousing concepts, data modeling, and database design principles. Familiarity with performance tuning, query optimization, and troubleshooting techniques. Experience working with relational databases and large datasets. Understanding of report development, dashboard creation, and business intelligence concepts. Familiarity with Power BI and integration with MSBI solutions. Knowledge of data governance, security, and data quality principles. Exposure to Azure Data Services such as Azure Data Factory, Azure SQL Database, Synapse Analytics, and cloud-based data solutions is an added advantage. Working knowledge of AI-assisted development tools for coding, debugging, testing, documentation, and productivity enhancement.