| Chennai, Tamil NaduAnaparthy, Andhra Pradesh
Job Summary
We are seeking a highly experienced Senior Lead – Azure Databricks to drive enterprise-scale data engineering, advanced analytics, and AI/ML initiatives. The ideal candidate will have deep expertise in Azure Databricks , strong leadership skills, and the ability to architect and deliver end-to-end data solutions integrated with Azure AI services.
Key Responsibilities
Key Responsibilities Data Engineering Leadership : Lead design and development of large-scale data pipelines using Azure Databricks, Spark, and Delta Lake.
Solution Architecture : Architect scalable, secure, and high-performance data platforms on Azure.
AI/ML Integration : Collaborate with AI teams to integrate Databricks pipelines with Azure Machine Learning and Azure AI Foundry.
Data Governance : Implement governance, lineage, and compliance frameworks across data platforms.
Performance Optimization : Optimize Spark jobs, Delta tables, and cluster configurations for efficiency.
Team Mentorship : Mentor junior engineers and lead cross-functional teams in delivering enterprise data solutions.
Stakeholder Collaboration : Partner with business leaders, data scientists, and product teams to translate requirements into technical solutions.
Innovation : Explore emerging Databricks and Azure AI capabilities to enhance enterprise data strategy.
Skill Requirements
Azure Databricks : Deep expertise in Databricks, Spark, Delta Lake, and MLflow.
Data Platforms : Strong knowledge of Azure Data Lake, Synapse Analytics, and Data Factory
. Programming : Proficiency in Python, Scala, and SQL for data engineering.
AI Services : Experience integrating Databricks with Azure AI Foundry, Cognitive Services, and Machine Learning.
DevOps : Knowledge of CI/CD pipelines, DataOps, and MLOps practices.
Visualization : Ability to deliver insights using Power BI and other visualization tools
. Leadership : Proven track record of leading teams and managing enterprise projects.
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