Azure Data Factory

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 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 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 TensorFlow, PyTorch, or Scikit-learn.
Certifications: Relevant certifications, such as Databricks Certified Developer or Databricks Certified Data Scientist
Regards,
Kaushik,
8610525163.

Work arrangement
No