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About the role
Exciting opportunity for an experienced Data Engineer (Databricks) to join a leading global AI & Analytics organization. Looking for professionals with robust expertise in Azure Databricks, PySpark, ADF, SQL, and ETL pipelines to build scalable enterprise data solutions. Location: Bengaluru / Hyderabad / Gurugram Your Future Employer: Our client is a globally recognized AI & Analytics company known for delivering cutting-edge data solutions, advanced analytics, data engineering, governance, MLOps, and Generative AI innovations to leading organizations worldwide. Responsibilities: 1. Design and develop scalable data pipelines using PySpark & Spark SQL on Azure Databricks 2. Build and orchestrate ETL workflows using Azure Data Factory (ADF) 3. Develop and maintain Lakehouse architecture using ADLS & Databricks 4. Perform data cleansing, normalization, deduplication, and transformations 5. Monitor data pipelines, troubleshoot issues, and ensure smooth production support 6. Collaborate with BI, Data Science, and DevOps teams on enterprise analytics initiatives Requirements: 1. 5+ years of experience in Data Engineering 2. Strong hands-on experience with Azure Databricks, Azure Data Factory, ADLS 3. Expertise in PySpark, Spark SQL, SQL, ETL Development 4. Good understanding of data architecture and cloud platforms 5. Robust communication and stakeholder management skills 6. Immediate to short notice candidates preferred What is in it for you - 1. Opportunity to work with a leading AI & Analytics brand 2. Exposure to enterprise-scale cloud data projects 3. High-growth learning environment with latest technologies Reach Us :If you think this role is aligned with your career, kindly write me an email along with your updated CV on for a confidential discussion on the role. Disclaimer :Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memo .
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