Required Qualifications

· Bachelor's degree or equivalent combination of education, experience, and training.

· 5+ years of experience in software engineering, data engineering, or analytics development.

· 3+ years of hands-on IBM Cognos development experience.

· Experience designing and developing Cognos Framework Manager models, reports, and dashboards.

· Strong SQL development and query optimization skills.

· Advanced Python development experience with hands-on PySpark and distributed data processing.

· Experience developing solutions on the Databricks Lakehouse Platform, including Databricks SQL dashboards and visualizations.

· Knowledge of dimensional modeling, data warehousing, and ETL/ELT patterns.

· Experience with source control tools such as GitHub.

· Excellent communication, documentation, and stakeholder management skills.

Preferred Qualifications

· Experience migrating reporting solutions from Cognos to modern cloud analytics platforms.

· Experience with Snowflake, Delta Lake, or similar cloud data platforms.

· Experience with cloud technologies such as AWS or Azure.

· Knowledge of data governance, data quality, and data catalog capabilities.

· Experience supporting compliance, legal, finance, or enterprise reporting use cases.

· Experience leveraging AI-assisted development tools such as Microsoft Copilot.

WHAT YOU'LL WORK ON





You will play a key role in supporting existing Cognos reporting solutions while helping accelerate the migration toward a modern Databricks-based analytics ecosystem. You will work closely with business stakeholders to understand reporting requirements, design scalable solutions, and deliver actionable insights through contemporary dashboards and analytics platforms.

Key Responsibilities

· Design, develop, enhance, and support IBM Cognos reports, dashboards, and Framework Manager models.

· Partner with business stakeholders to gather requirements and translate them into scalable reporting and analytics solutions.

· Develop and optimize SQL queries for enterprise-scale datasets.

· Build and maintain data pipelines using Python, PySpark, and Databricks.

· Design and develop Databricks SQL dashboards and self-service reporting capabilities.

· Modernize legacy reporting assets by migrating Cognos solutions to cloud-native analytics platforms.

· Collaborate with data engineers, architects, and product teams to establish scalable data models and semantic layers.

· Implement data quality, validation, and performance optimization best practices.

· Participate in code reviews, technical design discussions, and release activities.

· Troubleshoot and resolve production issues while ensuring reporting reliability and performance.

· Support enterprise reporting initiatives involving compliance, operational, financial, and executive reporting requirements.

· Contribute to continuous improvement of engineering standards, documentation, and development practices.

📌 Cognos / Databricks Developer (Bengaluru)
🏢 Artech Infosystems Private
📍 Bengaluru