Databricks Developer (2 To 3 Years)

Job Title: Databricks Developer
Experience: 2-3 Years
Location: PAN India
Employment Type: Full-Time

Job Summary

We are looking for a motivated Databricks Developer with 23 years of experience in data engineering and big data technologies. The ideal candidate should have hands-on expertise in Databricks, PySpark, SQL, ETL development, and cloud platforms. The role involves building scalable data pipelines, optimizing data workflows, and supporting analytics and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain data pipelines using Azure Databricks/AWS Databricks.
• Develop ETL/ELT processes using PySpark and Spark SQL.
• Ingest, transform, and process large-scale structured and unstructured datasets.
• Optimize Databricks jobs and clusters for performance and cost efficiency.
• Implement and manage Delta Lake architecture for reliable data processing.
• Collaborate with business stakeholders, data analysts, and engineering teams to understand data requirements.
• Ensure data quality, governance, and security best practices.
• Troubleshoot production issues and provide timely resolutions.
• Participate in code reviews and adhere to development standards.
• Create and maintain technical documentation for solutions and processes.

Required Skills

• 2–3 years of experience in Databricks development.
• Strong proficiency in PySpark and Python.
• Hands-on experience with Databricks Workspace, Jobs, Notebooks, and Workflows.
• Strong knowledge of Spark SQL, DataFrames, and distributed computing concepts.
• Experience with Delta Lake and data lake architectures.
• Strong SQL skills and experience with relational databases.
• Understanding of ETL/ELT frameworks and data warehousing concepts.
• Experience with version control tools such as Git.
• Knowledge of Linux/Unix environments.
• Strong analytical and problem-solving skills.