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 solid 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,

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📌 Azure Data Factory (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru