Mode Of Interview: Walk-In Drive (In-Person)Date: September 19,2026(Saturday)Job Title : Databricks Developer / LeadExperience : 4-10 yearsJob Summary : An experienced Databricks Developer / Lead to design, develop, and optimize data solutions using Databricks, Spark, and related technologies. The ideal candidate should have a strong background in data engineering, data science, and programming languages like Python, Scala, or Java.Responsibilities:Data Solution Development: Design, develop, and optimize data solutions using Databricks, Spark, and related technologies.Data Engineering: Develop and maintain data pipelines, data lakes, and data warehouses using Databricks, Delta Lake, and other tools.Data Science: Collaborate with data scientists to deploy machine learning models and optimize data science workflows.Performance Optimization: Optimize Spark jobs, Databricks notebooks, and data pipelines for performance and scalability.Collaboration: Work with cross-functional teams to identify and prioritize project requirements,



provide technical guidance, and ensure data qualityRequired Skills :Databricks: In-depth knowledge of Databricks, Spark, Delta Lake, and related technologies.Programming: Solid programming skills in Python, Scala, or Java.Data Engineering: Experience with data engineering, data warehousing, and ETL tools.Expertise in SQL, Unity Catalogue, Workflows/JobsData Science: Experience with data science, machine learning, and statistical modeling.Communication: Excellent communication and collaboration skills.Preferred Skills:Cloud Experience: Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.Machine Learning: Experience with machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn.Certifications: Relevant certifications, such as Databricks Certified Developer or Databricks Certified Data ScientistRegards,Kaushik,(phone hidden).

📌 Azure Data Factory (Vasanth Nagar)
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📍 Vasanth Nagar