Job Description

Mode Of Interview: Walk-In Drive (In-Person)

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Date: September 19,2026(Saturday)

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Job Title: Databricks Developer / Lead

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Experience: 4-10 years

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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.

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Responsibilities:

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- Data Solution Development: Design, develop, and optimize data solutions using Databricks, Spark, and related technologies.
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- Data Engineering: Develop and maintain data pipelines, data lakes, and data warehouses using Databricks, Delta Lake, and other tools.
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- Data Science: Collaborate with data scientists to deploy machine learning models and optimize data science workflows.
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- Performance Optimization: Optimize Spark jobs, Databricks notebooks, and data pipelines for performance and scalability.
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- Collaboration: Work with cross-functional teams to identify and prioritize project requirements,



provide technical guidance, and ensure data quality
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Required Skills:

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- Databricks: In-depth knowledge of Databricks, Spark, Delta Lake, and related technologies.
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- Programming: Robust programming skills in Python, Scala, or Java.
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- Data Engineering: Experience with data engineering, data warehousing, and ETL tools.
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- Expertise in SQL, Unity Catalogue, Workflows/Jobs
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- Data Science: Experience with data science, machine learning, and statistical modeling.
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- Communication: Excellent communication and collaboration skills.
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Preferred Skills:

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- Cloud Experience: Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.
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- Machine Learning: Experience with machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
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- Certifications: Relevant certifications, such as Databricks Certified Developer or Databricks Certified Data Scientist
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Regards,

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Kaushik,

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(phone hidden).

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