Data & BI Lead

Job not on LinkedIn

🕒 June 25

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

👻 Ghost score 22%

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Exavalu

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Lead design and implementation of scalable data platforms (lakehouse / warehouse) on Microsoft Fabric, Azure Databricks, or Snowflake • Build and optimize data ingestion, transformation, and ELT pipelines for large-scale data processing • Design and implement enterprise data models across: Data warehouse / lakehouse layers Analytical / semantic layers for reporting • Develop and maintain Power BI datasets, semantic models, and dashboards aligned with enterprise standards • Drive query and performance optimization across: SQL workloads and data pipelines BI semantic layer and reporting performance • Establish data warehousing standards, modelling frameworks, and reusable data assets • Ensure data quality, governance, lineage, and security across the platform • Collaborate with stakeholders to translate business requirements into scalable data and analytics solutions • Provide technical leadership across both data engineering and BI workstreams • Drive DevOps and CI/CD practices for data pipelines and BI deployments

🎯 Requirements

• 10+ years in Data Engineering, Data Warehousing, BI, or Analytics • Strong hands-on expertise in data engineering on at least one platform (mandatory): Microsoft Fabric (Lakehouse, Dataflows, Pipelines) Azure Databricks (PySpark, Delta Lake, distributed processing) Snowflake (ELT design, performance optimization, data modelling) • Very strong SQL expertise (mandatory): Complex transformations, query optimization, and performance tuning • Experience handling large-scale, high-volume datasets • Deep expertise in Data Modelling (mandatory): Dimensional modelling (star/snowflake schema) Normalization vs denormalization strategies Semantic layer design for analytics • Strong Data Warehousing experience (mandatory): Designing and implementing enterprise-grade data warehouses • Strong understanding of Kimball/Inmon methodologies • Experience with lakehouse architectures • Strong Power BI experience (mandatory): End to end development expertise Building semantic models, reports, and dashboards Advanced DAX and Power Query (M) Performance tuning (aggregations, incremental refresh, composite models) • Experience with: Data orchestration tools (e.g., Azure Data Factory / Synapse or equivalent) Python / PySpark for data processing CI/CD and DevOps practices for data and analytics solutions Data governance, lineage, and security (including RLS/OLS) • Good to Have: Exposure to AI / GenAI / Agentic AI concepts in data and analytics workflows

🏖️ Benefits

• Diversity Inclusion: Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. • It might be part-time work, working outside normal 9-5 business hours or working remotely. • We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons. • At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. • We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

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