Sr. Software Engineer - BI (Business Intelligence) Job

Required Skills:

• Overall experience 6+ years in IT
• 4+ years of experience in Business Intelligence, Data Engineering and analytics, or related roles.
• Comfortable to maneuver through Azure cloud services and offerings.
• Hands-on experience with creating analytical models & dashboards in PowerBI and Tableau.      
• Develop in Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake as and when required.
• Understand and adopt best practices in data engineering, data modeling and data integration to ensure the reliability, scalability, and performance of data solutions.
• Good data analytical skills to analyze data and understand requirements of application and business teams.
• Excellent knowledge experience in writing complex SQL and Kusto queries.
• Experience in Agile/Scrum methodologies and project management tools such as Jira.
• Strong prioritizing, interpersonal, problem-solving, task management (from conception to completion), & planning skills.
• Excellent oral and written communication skills with ability to independently engage all stakeholders at onsite and offshore

Preferred Skills

• Data modeling (Native HANA), TDV, SQL Scripting
• Experience of ETL tools, preferably Talend & data Factory
• Knowledge of Microsoft Fabric (preferred).
• Certifications in relevant BI and cloud technologies (preferably Azure PL300) are a plus.
• Good knowledge of Logistics & SAP domain

Responsibilities:

• Build analytics on Power BI & Tableau that utilize the data pipeline to provide actionable insights into operational efficiency and other key business/technical performance metrics. 
• Identify, analyze, and interpret trends or patterns in complex data. Transform analyses into concrete, actionable recommendations to drive decision-making.
• Responsible for correlating multiple metrics to show dependency and impact of changes in KPI
• Responsible for development, update, upgrade and maintenance of analytical models and dashboards
• Gather and process raw data at scale that meet functional / non-functional business requirements (including writing scripts, REST API calls, SQL Queries, etc.)
• Responsible for developing data set processes for data modeling, mining etc
• Develop complex SQL queries as required to support the analytics models & associated dashboards.
  • Exercise cost consciousness in data compute & storage usage