BI Support Engineer

Job Description

Location: Bengaluru, KA
Position Type: Full-Time
Hours: 9:00am to 5:00pm Weekdays (Monday – Friday)

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.

Key Responsibilities

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.

Technical Experience

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, PostgreSQL, 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 BigQuery

Cloud Platforms: AWS, Microsoft Azure, Google Cloud.
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

Problem-Solving and Analytical Skills

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.

Soft Skills

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.