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.