Python Developer Data Engineer · Bengaluru

Python Developer Data Engineering| Immediate Joiner| 4-9 Year Experience is a delivery-focused opportunity based in Bengaluru, India.

Hiring: Python Developer Data Engineering Location: Bangalore Experience: 46 Years / 79 Years Work Mode: As per project/client requirements Must-Have Skills Strong hands-on experience in PythonExcellent experience with PySparkHands-on experience with DatabricksStrong understanding of Data Engineering conceptsExperience in developing and optimizing data pipelinesGood knowledge of data processing, transformation, and integrationStrong SQL and database fundamentalsExperience working with large datasets and distributed data processing Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and PySpark.Develop and optimize data processing workflows on Databricks.Perform data transformation, cleansing, and integration.Troubleshoot and optimize data pipelines for performance and reliability.Collaborate with data engineers, analysts, and other technical teams.Follow best practices for coding, testing, deployment, and documentation. Ideal Candidate Candidates with strong hands-on experience in Python + PySpark + Databricks, along with solid Data Engineering experience, are encouraged to apply.

Key Responsibilities

• Hiring: Python Developer Data Engineering Location: Bangalore Experience: 46 Years / 79 Years Work Mode: As per project/client requirements Must-Have Skills Strong hands-on experience in PythonExcellent experience with PySparkHands-on experience with DatabricksStrong understanding of Data Engineering conceptsExperience in developing and optimizing data pipelinesGood knowledge of data processing, transformation, and integrationStrong SQL and database fundamentalsExperience working with large datasets and distributed data processing Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and PySpark.Develop and optimize data processing workflows on Databricks.Perform data transformation, cleansing, and integration.Troubleshoot and optimize data pipelines for performance and reliability.Collaborate with data engineers, analysts, and other technical teams.Follow best practices for coding, testing, deployment, and documentation
• Ideal Candidate Candidates with strong hands-on experience in Python + PySpark + Databricks, along with solid Data Engineering experience, are encouraged to apply
• Interested candidates can share their updated CV along with their total experience, relevant experience, current CTC, expected CTC, and notice period
• Design, build, and improve software systems that support the goals of the Python Developer Data Engineering| Immediate Joiner| 4-9 Year Experience function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.