Senior Data Engineer & BI Developer

Responsibilities:

• Design, develop, and maintain enterprise data products, data pipelines, data lakes, and analytical solutions.
• Build and support scalable data platforms using Databricks, Starburst, PostgreSQL, Oracle, and AWS RDS.
• Develop and optimize ETL processes, data integration workflows, and data transformation pipelines using Python and SQL.
• Design and maintain data models, curated datasets, and semantic layers that support business reporting and self-service analytics.
• Develop, enhance, and support dashboards, scorecards, and KPI reporting solutions using Amazon QuickSight and Tableau.
• Collaborate with business stakeholders, analysts, and application teams to translate business requirements into data products and reporting solutions.
• Monitor and improve data quality, performance, reliability, security, and governance across enterprise data platforms.
• Provide production support, troubleshooting, root cause analysis, maintenance, and continuous improvements for data engineering and BI solutions.
• Create and maintain technical documentation, data lineage, operational procedures, and best practices.
• Participate in architecture reviews, data governance initiatives, and platform modernization efforts.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 8+ years of experience in Data Engineering, Data Warehousing, Analytics, and BI Development.
• Strong expertise in: Databricks and Data Lake architectures, Starburst, PostgreSQL, Oracle Database, AWS RDS, Python, SQL, Tableau, Amazon QuickSight, ETL development and data integration
• Experience designing and delivering enterprise-scale data products and analytics solutions.
• Strong knowledge of data modeling, performance tuning, data governance, and best practices.
• Experience supporting production environments and mission-critical reporting platforms.
• Excellent analytical, troubleshooting, communication, and stakeholder management skills.
• Strong communication and teamwork abilities.
• Ability to work independently and handle multiple projects simultaneously.
• Knowledge on AI and machine learning concepts is a plus.