Sr. Analyst - II/Senior Data Engineer & BI Developer # 26-26828

• 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.

• We are seeking an experienced Senior Data Engineer & BI Developer with 8+ years of industry experience to design, develop, support, and maintain data products, analytical dashboard solutions.
• The ideal candidate will have strong expertise in data engineering, cloud data platforms, business intelligence, database technologies, and dashboard development, with a focus on delivering scalable, business-ready data products and insights.

Required Years of Experience:

• Min. 8+

Required Degree or Certification:

• Bachelor’s degree in computer science, engineering, or a related field.
• Top 3 Required Skill Sets: Databricks and Data Lake architectures, Starburst, PostgreSQL, Oracle Database, AWS RDS, Python, SQL, Tableau, Amazon QuickSight
• Top 3 Nice to Have Skill Sets: Power BI, AI Agents development, Power Automate
• Unique Selling Point of this role: Hands on exp on Databricks, Amazon Quick Suite, * 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.