Job Description

- Architecture & Pipeline Development: Design, implement, and maintain scalable data architectures using Azure Databricks

- Data Modeling: Design efficient, scalable data models

- Automation Testing: Able to generate unit test cases to ensure non-regression

- Collaboration skills are essential as the candidate will be required to interact with transverse teams

RequirementsExperience 6+ years
Requirements
5–7+ years of hands-on Power BI development experience in enterprise or project-based environments. Strong expertise in: Power BI Desktop and Power BI Service DAX, SQL Data modelling and semantic modelling Dashboard and data visualization design Strong understanding of dimensional modelling, star schemas, fact and dimension tables, relationships, and analytical data structures. Experience implementing Row-Level Security (RLS) and enterprise access/security models. Solid understanding of Power BI performance optimization and best practices for building scalable reports and semantic models. Experience working with Azure cloud data platforms. Working knowledge of Databricks / Azure Databricks and modern data platforms. Strong SQL skills and experience working with large and complex datasets. Understanding of BI governance, deployment, and development standards. Strong analytical and problem-solving skills with the ability to translate business questions into meaningful analytical solutions. Excellent stakeholder management and communication skills. · Domain experience in customer analytics, loyalty,



retail, campaign performance, CRM, digital products, or executive KPI reporting will be advantageous. Modern / Future-Focused Skills Experience or exposure to the following will be highly advantageous: Power BI Copilot and AI-assisted BI Natural-language analytics and conversational BI AI-generated insights and automated narratives Generative AI / LLM concepts and prompt engineering · Experience integrating Power BI with Python, R, Azure ML, or advanced analytics outputs to enable richer analytical insights where relevant. Qualifications Bachelor's degree in Computer Science, Information Technology or a related discipline. Microsoft Power BI certification is preferred. Additional Azure, Databricks, Microsoft Fabric, or data analytics certifications are advantageous. Experience with Tableau, Alteryx, or other BI/analytics platforms is advantageous. Key Competencies Strong analytical and structured problem-solving ability. Excellent data visualization and data storytelling skills. Ability to translate complex business requirements into simple, intuitive analytical solutions. Strong attention to data quality, accuracy, and detail. Excellent communication and stakeholder management skills. Ability to work independently and collaboratively across diverse teams. Ability to manage multiple priorities in a fast-paced data and analytics workplace. Continuous learning mindset with an interest in AI, modern BI, and emerging analytics technologies.

📌 Senior Data Engineer (India)
🏢 Techcarrot Fz
📍 India