Lead Data Engineer

4 weeks ago

New Delhi, India EverestDX Inc Full time

About the Company: Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.To know more please visit:http://www.everestdx.comJob Title:Azure Data Engineer / Lead Location:Hyderabad (Work from Office) Experience:8–12 YearsJob Summary: We are seeking an experiencedAzure Data Engineer / Leadwith strong expertise in Azure services, distributed data processing, and team leadership. The ideal candidate will have hands-on experience withAzure Databricks, Azure Data Lake, Azure Data Factory, PySpark/Spark, and SQL , along with the ability to guide a small team on technical design and delivery.Key Responsibilities: Design, develop, and optimize large-scale data pipelines usingAzure Databricks, ADLS, and ADF . Implement and manage distributed data processing solutions usingSpark/PySpark . Write and optimizeSQL queriesfor data extraction, transformation, and analysis. Lead and mentor a small team of data engineers, providing technical guidance and reviewing design solutions. Collaborate with stakeholders to translate business requirements into scalable and efficient data solutions. Ensure data quality, governance, and compliance across data platforms. Support production deployments, troubleshooting, and performance optimization.Required Skills: Strong expertise withAzure Databricks, Azure Data Lake, and Azure Data Factory . Hands-on experience inSpark/PySparkfor distributed data processing. Proficiency inSQLfor complex queries and optimization. Solid understanding ofAzure cloud platformand its ecosystem. Proven experience inleading and mentoring teams . Strong problem-solving and analytical skills. Excellent communication and collaboration abilities.

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