Website Infobeans
- Job Title: Data Analytics Developer/Lead
- Skills : Power BI, ADF, Databricks, Data Modelling, SQL, Performance Tuning, Medallion Architecture, Lakehouse concepts and Azure.
- Experience Required: 5+ Years
- Location: Remote
- Notice Period: Immediate Joiners Preferred – 15 days preferred
About InfoBeans
InfoBeans is a global digital transformation and product engineering company dedicated to “Creating WOW!” for our clients and team. With a global footprint of 1,700+ professionals, we specialise in high-growth areas like AI/ML, Cloud, and Digital Transformation. We offer a collaborative, people-first culture where innovation and agility are at the core of everything we do.
About the Role
Are you an inquisitive data professional who thrives on turning raw data into strategic insights? We are looking for a Data Analytics Developer/Lead to join our growing Data & Analytics team. This is a 100% Remote position focused on our Azure-based platform. You will bridge the gap between complex data engineering and business-ready visualisations, specifically within a high-speed e-commerce domain.
Key Responsibilities
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Insight Engineering: Design and maintain high-performance Power BI dashboards and semantic models using advanced DAX and Row-Level Security (RLS).
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Data Validation & Quality: Profile and validate datasets within the Data Lake, ensuring the “Medallion Architecture” maintains high standards of accuracy and consistency.
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Advanced Querying: Write and optimize complex SQL and Databricks notebooks to profile data at scale.
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Platform Innovation: Collaborate on modern Lakehouse concepts using Azure Synapse, Databricks, and Microsoft Fabric.
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Stakeholder Partnership: Translate complex business requirements into scalable analytical solutions, fostering a culture of self-service BI.
Required Skills & Experience
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Experience: 5+ years of hands-on experience with Azure Data Factory (ADF), Azure Databricks, and Power BI.
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Technical Core: Deep expertise in Data Modelling, SQL Performance Tuning, and DAX (Time-intelligence/KPIs).
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Architecture: Solid understanding of Lakehouse concepts and the Medallion Architecture (Bronze/Silver/Gold).
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Cloud Ecosystem: Familiarity with Microsoft Fabric, OneLake, and Azure Synapse Analytics.
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Domain: Experience in E-commerce data structures is highly preferred.
Deployment Details
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Location: 100% Remote.
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Notice Period: Immediate joiners preferred (15 days or less).
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Role Type: Lead / Individual Contributor with mentorship opportunities.
To apply for this job please visit remotejobhiring.com.
