Posted:13 hours ago|
Platform:
Hybrid
Full Time
Location: Pune, Bengaluru
Professional Summary: Business-focused BI and Azure Tech Lead with extensive experience in delivering impactful analytics solutions. Specializing in Power BI for dashboarding, data modeling, and storytelling, complemented by strong Azure data engineering capabilities. Known for building and mentoring high-performing teams, driving stakeholder alignment, and ensuring scalable, secure, and governed data platforms.
Core Responsibilities: Power BI (70%)Develop and maintain interactive dashboards, reports, and semantic models. Build tabular models, define relationships, and implement row-level security. Write optimized DAX for KPIs, calculated columns, and measures. Use Power Query, Power Pivot, and Python for data shaping and analytics. Connect to diverse data sources including Azure Synapse, SQL DB, and ADLS Gen2.Manage Power BI workspaces, access controls, refresh schedules, and performance tuning. Collaborate with stakeholders to gather requirements and deliver actionable insights. Document data models, logic, and processes for transparency and maintainability. Azure Data Engineering (30%)Architect and manage Azure Synapse Analytics for enterprise data warehousing. Design and orchestrate ADF pipelines, Data Flows, and SQL-based transformations. Provision infrastructure using Terraform, ensuring modular and reusable code. Implement governance using Azure Purview, RBAC/ABAC, and Key Vault. Monitor and troubleshoot pipelines using Azure Monitor and Log Analytics.
Leadership & Team Building: Build and mentor BI and data engineering teams, fostering collaboration and innovation. Lead Agile delivery using Scrum, JIRA, and CI/CD pipelines via Azure DevOps/GitHub Actions. Promote best practices, continuous learning, and knowledge sharing. Align data initiatives with business strategy and drive stakeholder engagement. Handle incident management and ensure SLA compliance.
Technical Skills: Power BI: Desktop, Service, Power Query, Power Pivot, REST API Azure: Synapse Analytics, Data Factory, SQL DB, ADLS Gen2, Key Vault, Monitor Languages: SQL, DAX, Python Infrastructure: Terraform, CI/CD with Azure DevOps / GitHub Actions Modeling: Star/Snowflake schemas, Dimensional/Semantic models Governance: Azure Purview, RBAC/ABAC, security best practices BI Stack: Familiarity with SSRS, SSIS (preferred)
Recommended Certifications: Microsoft Certified: Power BI Data Analyst AssociateDP-500: Azure Enterprise Data Analyst AssociateMicrosoft Certified: Azure Data Engineer AssociateTerraform Associate (HashiCorp)
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