Data Analytics Engineer

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SunnyData

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• Develop, modify, and maintain dashboards and reports in BI tools such as PowerBI, Tableau, and Databricks AI/BI • Translate business requests submitted through a ticketing system into accurate and actionable data visualizations • Ensure consistency in definitions, metrics, and data logic across reports • Optimize queries and dashboards for performance and clarity • Document logic and assumptions behind key metrics and dashboards • Create and maintain database views, derived tables, and other analytical objects • Perform data modeling and transformation for reliable downstream reporting • Troubleshoot data discrepancies and validate data accuracy across systems • Collaborate on improvements to data structure and warehouse organization • Deliver accurate, well-documented dashboards within agreed SLAs • Develop clean, reusable SQL objects for long-term reporting needs • Improve clarity and consistency in metric definitions • Reduce back-and-forth on reporting requests through thoughtful implementation • Lead business interactions, define standards, document KPIs and reports, optimize large data models, and support more junior team members • Engage with clients to solve challenging data engineering problems

🎯 Requirements

• Advanced SQL proficiency, including querying, joins, CTEs, aggregations, and window functions • Hands-on experience with cloud-based data warehouses • Experience building dashboards and reports in Looker, Tableau, or Power BI • Ability to interpret business requirements and translate them into technical solutions • Strong attention to detail and data validation practices • Experience with dashboard engineering, storytelling, and usability • Experience with data modeling and transformation using large datasets • Ability to lead business interactions, define standards, document KPIs and reports, optimize large data models, and support junior team members • Bachelor’s Degree in Computer Science or a related Engineering field

🏖️ Benefits

• Health insurance for employees and eligible family members, including spouses, domestic partners, and children, from the first day of employment • Minimum of 15 days paid time off annually • Nine paid company holidays • Opportunity to grow technical and people skills • Opportunities to lead teams on complex, innovative customer projects • Professional development and career advancement opportunities • Innovative environment using cutting-edge technologies • Collaborative culture with knowledge sharing

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