BI Support Engineer Texplorers
Texplorers
Office Location
Full Time
Experience: 2 - 2 years required
Pay:
Salary Information not included
Type: Full Time
Location: Karnataka
Skills: data warehousing, Analytical skills, Communication, collaboration, Time management, Customer service orientation, BI Tools Proficiency, SQL knowledge, ETL processes, cloud platforms, API development Integration, Serverless workflows, Problemsolving
About Texplorers
Job Description
As a BI (Business Intelligence) Support Engineer at our company based in Bengaluru, KA, you will play a crucial role in maintaining and supporting our business intelligence systems and tools. Your primary responsibility will be to ensure that BI platforms run smoothly, troubleshoot issues, and assist end-users in maximizing the potential of BI tools for data analysis, reporting, and decision-making. Your key responsibilities will include: - System Maintenance and Monitoring: Overseeing the smooth operation of BI platforms, implementing updates, and monitoring the performance and health of BI systems and pipelines. - Troubleshooting and Issue Resolution: Identifying and resolving issues related to BI reports, dashboards, or data connections. - User Support and Training: Providing guidance to end-users on how to use BI tools, addressing their queries, and assisting in troubleshooting report issues. - Data Integration and ETL Support: Assisting in integrating various data sources and ensuring error-free ETL (Extract, Transform, Load) processes. - Collaboration with IT Teams: Working closely with developers, database administrators, and data engineers to ensure robust data pipelines and accurate reports. - Documentation: Creating detailed documentation for troubleshooting procedures, system configurations, and user guides. In terms of technical experience, you should possess: - Proficiency in BI Tools like Power BI, Tableau, etc. - Expertise in writing and optimizing SQL queries using technologies such as SQL Server, Oracle, MySQL, PostgreSQL, Redshift, Snowflake. - Knowledge of ETL tools and processes (e.g., SSIS) for integrating data into BI systems. - Understanding of data warehousing concepts and architecture using technologies like Snowflake, Azure Synapse, Google BigQuery. - Familiarity with Cloud Platforms such as AWS, Microsoft Azure, Google Cloud. - Experience with API development and integration using tools like Postman, OpenAPI specs, Swagger, YAML. - Hands-on experience in integrating Azure Functions with multiple services for serverless workflows. Your problem-solving and analytical skills will be critical in: - Troubleshooting data issues, system errors, and performance bottlenecks in BI tools. - Identifying trends, anomalies, and issues in data and reporting systems. - Diagnosing and resolving technical issues in data pipelines, BI tools, or databases. Moreover, your soft skills should include: - Clear communication skills for interacting with end-users, explaining technical issues, and providing training or support. - Ability to collaborate effectively in a cross-functional team, including developers, data scientists, and business analysts. - Strong time management skills to prioritize tasks efficiently, especially when supporting multiple users and systems. - Customer service orientation with a focus on delivering high-quality support to end-users and resolving issues promptly and effectively.,