Databricks AI & Power BI Reporting Developer

Databricks AI & Power BI Reporting Developer

Experience: 4–7 Years

Primary Skills

Databricks, AI/Analytics Reporting, Power BI, SQL, Python, PySpark, AWS

Role Overview

The Data Engineer – Databricks AI & Power BI Reporting Developer will be responsible for designing, developing, and maintaining data solutions, analytical reporting, and AI-enabled insights using Databricks, Power BI, and AWS. The ideal candidate should have 4–7 years of relevant experience in data engineering, Databricks-based analytics and reporting, and Power BI report development. The candidate must have strong hands-on experience in developing interactive Power BI dashboards, transforming and analyzing data in Databricks, and building scalable data pipelines to support business intelligence and AI-driven reporting requirements. The role involves close collaboration with business stakeholders, data engineers, data architects, analytics teams, and implementation partners to deliver reliable, high-quality, and performance-optimized reporting solutions.

Key Responsibilities

• Design, develop, and maintain interactive Power BI reports, dashboards, and visualizations to meet business and analytical requirements.
• Develop and optimize Databricks notebooks, SQL queries, and data transformation workflows using Python, PySpark, and Spark SQL.
• Build and maintain data pipelines using AWS and Databricks to support reporting, analytics, and AI-related use cases.
• Prepare, transform, validate, and integrate data from multiple source systems for reporting and analysis.
• Implement and maintain Bronze, Silver, and Gold data layers using Databricks and Delta Lake.
• Develop efficient data models, relationships, measures, and calculated columns using Power BI and DAX.
• Connect Power BI to Databricks and other data sources to deliver accurate, reliable, and timely business insights.
• Work with AI/ML-enabled analytics and reporting capabilities in Databricks to support predictive insights and advanced analytics, where required.
• Perform data profiling, reconciliation, validation, and troubleshooting to ensure report accuracy and data quality.
• Optimize Power BI dashboards, DAX calculations, data models, SQL queries, and Databricks workloads for performance and scalability.
• Implement data refresh schedules, incremental refresh, and appropriate reporting security, including row-level security where required.
• Support data governance, metadata, lineage, and access management activities using Databricks Unity Catalog and related tools.
• Collaborate with business stakeholders to gather reporting requirements, translate business needs into technical solutions, and validate report outputs.
• Participate in code reviews, testing, deployment, CI/CD, and production support.
• Prepare technical documentation and provide knowledge transfer to internal teams.

Required Skills

• 4–7 years of relevant experience in Databricks analytics/reporting, Power BI development, data engineering, or a closely related role.
• Strong hands-on experience developing Power BI reports and dashboards.
• Strong knowledge of Power BI data modeling, DAX, Power Query, and report performance optimization.
• Hands-on experience with Databricks notebooks, Databricks SQL, and data transformation.
• Strong SQL skills for data extraction, transformation, analysis, and validation.
• Experience with Python, PySpark, and Apache Spark.
• Experience integrating Power BI with Databricks and other enterprise data sources.
• Understanding of ETL/ELT processes, data pipelines, data quality, and data reconciliation.
• Working knowledge of AWS cloud services and cloud-based data platforms.
• Strong analytical, troubleshooting, communication, and stakeholder collaboration skills.

Preferred Skills

• Experience with Databricks AI capabilities and AI-assisted analytics or reporting.
• Knowledge of Databricks Mosaic AI, AI/BI capabilities, or machine learning integration for analytics use cases.
• Experience with Delta Lake, Unity Catalog, and Lakehouse architecture.
• Experience with AWS services used in data engineering and analytics.
• Knowledge of Tableau or other BI and visualization platforms.
• Experience with Git, CI/CD pipelines, and DevOps practices.
• Understanding of data governance, metadata management, data lineage, and security.
• Databricks or Microsoft Power BI certifications.

Ideal Candidate Profile

The ideal candidate will combine strong Databricks data and analytics expertise with hands-on Power BI report development skills. The candidate should be capable of preparing reliable data in Databricks, building effective analytical data models, and delivering interactive dashboards that help business stakeholders make informed decisions.