Job Description NMode Of Interview: Walk-In Drive (In-Person) NDate: September 19,2026(Saturday) NnJobTitle: Databricks Developer / Lead NExperience: 4-10 years NnnJob 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. NnResponsibilities: Nn Data Solution Development: Design, develop, and optimize data solutions using Databricks, Spark, and related technologies. N Data Engineering: Develop and maintain data pipelines, data lakes, and data warehouses using Databricks, Delta Lake, and other tools. N Data Science: Collaborate with data scientists to deploy machine learning models and optimize data science workflows. N Performance Optimization: Optimize Spark jobs, Databricks notebooks, and data pipelines for performance and scalability. N Collaboration: Work with cross-functional teams to identify and prioritize project requirements,



provide technical guidance, and ensure data quality NnRequired Skills: Nn Databricks: In-depth knowledge of Databricks, Spark, Delta Lake, and related technologies. N Programming: Solid programming skills in Python, Scala, or Java. N Data Engineering: Experience with data engineering, data warehousing, and ETL tools. N Expertise in SQL, UnityCatalogue, Workflows/Jobs N Data Science: Experience with data science, machine learning, and statistical modeling. N Communication: Excellent communication and collaboration skills. NnPreferred Skills: Nn Cloud Experience: Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud. N Machine Learning: Experience with machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn. N Certifications: Relevant certifications, such as Databricks Certified Developer or Databricks Certified Data Scientist NnRegards,nKaushik, N8610525163.n

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