BI Support Engineer

BI (Business Intelligence) Support Engineer plays a critical role in maintaining and supporting business intelligence systems and tools used for data analysis, reporting, and decision-making. They ensure that BI platforms run smoothly, troubleshoot issues, and help end-users get the most out of BI tools.

• System Maintenance and Monitoring: Managing the smooth operation of BI platforms, implementing updates, and overseeing the performance and health of BI systems and pipelines.
• Troubleshooting and Issue Resolution: Identifying and resolving issues with BI reports, dashboards, or data connections.
• User Support and Training: Providing assistance to end-users with BI tool usage, addressing queries, and troubleshooting report issues.
• Data Integration and ETL Support: Helping integrate various data sources and ensuring ETL (Extract, Transform, Load) processes run without errors.
• Collaboration with IT Teams: Working closely with developers, database administrators, and data engineers to ensure data pipelines are robust and reports are accurate.
• Documentation: Creating documentation for troubleshooting procedures, system configurations, and user guides.

• BI Tools Proficiency: Experience with BI tools like Power BI, Tableau, etc.
• SQL Knowledge: Expertise in writing and optimizing SQL queries to retrieve, manipulate, and validate data using technologies like: SQL Server, Oracle, MySQL, Postgre
  
  SQL, Redshift, Snowflake
• ETL Processes: Knowledge of ETL tools (e.g., SSIS) and processes to integrate data from different sources into BI systems.
• Data Warehousing: Understanding of data warehousing concepts and architecture using technologies like:
  Snowflake, Azure Synapse, Google Big Query
• API development & Integration: Experience working with REST APIs and related tools like Postman, OpenAPI specs, Swagger, YAML etc
• Serverless workflows: Experience integrating Azure Functions with multiple services for orchestrating complex operations

• Ability to troubleshoot data issues, system errors, and performance bottlenecks in BI tools.
• Strong analytical mindset to identify trends, anomalies, and issues in data and reporting systems.
• Debugging skills to diagnose and resolve technical issues in data pipelines, BI tools, or databases.

• Communication: Clear communication skills to interact with end-users, explain technical issues, and provide training or support.
• Collaboration: Ability to work in a cross-functional team, including collaboration with developers, data scientists, and business analysts.
• Time Management: Ability to prioritize tasks effectively, especially when supporting multiple users and systems.

Customer Service Orientation: A focus on providing high-quality support to end-users and resolving issues quickly and efficiently.

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