Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent (minimum 13+ years work experience).
Experience in stake holder management and working on proposals.
Experience leading team of data engineers.
At least 4+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Synapse/Azure Databricks, Microsoft Fabric
Hands-on experience implementing data ingestion, ETL and data processing using Azure services: Fabric, onelake, ADLS, Azure Data Factory, Azure Functions, services in Microsoft Fabric etc.
Minimum of 5+ years of hands-on experience in Azure and Big Data technologies such as Fabric, databricks, Synapse, Python, SQL, ADLS/Blob, pyspark/SparkSQL.
Minimum of 3+ years of RDBMS experience
Preferred Skills:
Technical Leadership & Demo Delivery
:
Provide technical leadership to the data engineering team, guiding the design and implementation of data solutions.
Deliver compelling and clear demonstrations of data engineering solutions to stakeholders and clients, showcasing functionality and business value.
Communicate fluently in English with clients, translating complex technical concepts into business-friendly language during presentations, meetings, and consultations.
ETL Development & Deployment on Azure Cloud
:
Design, develop, and deploy robust ETL (Extract, Transform, Load) pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Notebooks, Azure Functions, and other Azure services.
Ensure scalable, efficient, and secure data integration workflows that meet business requirements.
Microsoft Fabric Expertise
:
Develop and deploy ETL solutions using Microsoft Fabric, leveraging its capabilities for end-to-end data integration and analytics.
Build and maintain medallion architecture (Bronze, Silver, Gold layers) in Microsoft Fabric to ensure data quality, scalability, and performance.
Generative AI & Microsoft Copilot
:
Exposure to Microsoft Copilot and Generative AI fundamentals, with the ability to identify and implement industry-relevant use cases (e.g., automated insights generation, data summarization, or predictive analytics).
Leverage Gen AI tools to enhance data engineering workflows, such as automating data pipeline creation or improving data quality checks.
Power BI & Business Insights
:
Proficient in Microsoft Power BI for designing and developing interactive reports and dashboards.
Generate actionable insights for business users by analyzing data trends and patterns, ensuring alignment with business objectives.
Azure Security & Access Management
:
Strong knowledge of Azure Role-Based Access Control (RBAC) and Identity and Access Management (IAM).
Implement and manage access controls, ensuring data security and compliance with organizational and regulatory standards on Azure Cloud.
Location:
Bangalore, Hyderabad, Pune
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