Job Title

Key Responsibilities: Design, develop, and maintain robust ETL/data pipelines for data ingestion, transformation, and integration.Develop and optimize SQL queries for efficient data extraction, transformation, and analysis • Ensure data accuracy, consistency, and integrity across systems.Implement and manage version-controlled workflows using Git.Build and maintain data models to support reporting and analytics.Create impactful dashboards and visualizations using Power BI and Microsoft Fabric.Perform data analysis to identify trends, anomalies, and insights.Collaborate with stakeholders, analysts, and business teams to understand data requirements.Troubleshoot and resolve data-related performance or quality issues.Support and enhance analytical and reporting workflows.Technical Skills Required: Python for scripting, automation, and data processing.SQL for querying, transformation, and relational database management.Strong understanding of ETL tools, processes, and frameworks.Experience with Azure cloud services, such as: Azure Data Factory Azure Synapse Analytics Azure Data LakeProficiency in Git for version control and collaboration Hands-on experience with Microsoft Fabric Knowledge of data modeling concepts.Understanding of data warehousing and analytics workflows.Familiarity with performance tuning and query optimization Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.Proven experience as a Data Engineer / Data Analyst / BI Engineer.Strong problem-solving and analytical skills.Ability to work with large datasets and complex data structures.Experience working in cloud-based data environments (Azure preferred).Excellent communication and collaboration skills.Ability to work independently and within cross-functional teams