Role Overview

We are looking for a Python Databricks Developer with strong experience in data engineering, ETL development, and cloud-based data platforms. The candidate will be responsible for developing and optimizing data pipelines using Python, Databricks, and Apache Spark.

Key Responsibilities

- Develop and maintain scalable data pipelines using Python, Databricks, and PySpark.
- Design and implement ETL/ELT workflows for large-scale data processing.
- Develop and optimize Databricks notebooks, jobs, and workflows.
- Work with Apache Spark for distributed data processing.
- Integrate data from multiple sources and build reliable data solutions.
- Perform data transformation, cleansing, validation, and optimization.
- Troubleshoot pipeline failures and performance issues.
- Collaborate with data engineers, analysts, and business stakeholders.
- Follow data quality, security,



and development best practices.

Required Skills

- Strong experience with Python and PySpark.
- Hands-on experience with Databricks.
- Good understanding of Apache Spark and distributed data processing.
- Robust SQL skills and experience with relational databases.
- Experience in ETL/ELT and data pipeline development.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Experience with Delta Lake and Databricks Workflows is preferred.
- Good problem-solving and communication skills.

Experience: 4–8 years

Role: Python Databricks Developer

Python,

SQL, Databricks, Apache Spark, REST APIs, Data Modeling, Git, Cache development

Good to have – LLM Integration,

📌 Python Databricks Developer (Bengaluru)
🏢 Ascendion
📍 Bengaluru