Role & responsibilities

We are looking for an experienced Databricks Developer with a strong background in Spark/pyspark to design, develop, and optimize data processing applications. The ideal candidate will build scalable data engineering solutions and ensure seamless data flow across platforms.

Key Responsibilities:

Design, develop, and maintain scalable data processing applications using Python, PySpark and Spark.

Collaborate with data engineers, data scientists, and other stakeholders to understand business requirements and deliver high-quality solutions.

Ensure data integrity, performance, and reliability across all data processing pipelines.

Write clean, maintainable, and productive code following best practices and coding standards.

Perform data analysis and implement data validation to ensure quality.





Monitor and troubleshoot performance issues in data workflows and pipelines.

Implement and manage CI/CD pipelines for automated testing, integration, and deployment.

Required Skills & Qualifications:

Bachelors or Master’s degree in Computer Science, Engineering, or a related field.

Proven experience as a Databricks Developer, with strong expertise in Spark/Pyspark.

Proficiency in SQL and hands-on experience with relational databases.

Strong programming experience in Python and PySpark.

Familiarity with version control systems such as Git.

Strong analytical and problem-solving abilities.

Excellent communication and collaboration skills.

📌 Face To Face interview on 5th Sep For Databricks Developer- Bangalore (Bengaluru)
🏢 Anlage Infotech
📍 Bengaluru