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 modern 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.