Job Description & How to Apply Below
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 Tensor Flow, PyTorch, or Scikit-learn.
Certifications:
Relevant certifications, such as Databricks Certified Developer or Databricks Certified Data Scientist
Regards,
Kaushik,
.
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