Mode Of Interview: Walk-In Drive (In-Person) Date: September 19,2026(Saturday)
Job Title: Databricks Developer / Lead Experience: 4-10 years
Job 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 robust 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 quality Required Skills: Databricks: In-depth knowledge of Databricks, Spark, Delta Lake, and related technologies. Programming: Strong programming skills in Python, Scala, or Java. Data Engineering: Experience with data engineering, data warehousing, and ETL tools. Expertise in SQL, Unity Catalogue, Workflows/Jobs Data 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 Tensor Flow, PyTorch, or Scikit-learn. Certifications: Relevant certifications, such as Databricks Certified Developer or Databricks Certified Data Scientist Regards, Kaushik, (phone hidden).

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