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Python Databricks Developer Job Opening In India, India – Now Hiring Vertical Relevance


Job description

Salary: Competitive / Paid in Indian Rupee .

INR / Annual

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What You Should Know About This Job


Job Title: Python Databricks Developer

Location: Pune

Experience: 6 to 10 Years

Employment Type: Full-Time


Job Summary:

We are looking for a skilled and experienced Python Databricks Developer who is proficient in developing scalable data pipelines, data transformation logic, and cloud-native analytics solutions using Python, Databricks, and AWS services.

The ideal candidate should have strong data engineering experience and be comfortable working in fast-paced, Agile environments.

Key Responsibilities:

  • Design and develop scalable ETL pipelines and data workflows using Databricks (PySpark) and Python.
  • Work on large-scale data ingestion, processing, and transformation from various sources.
  • Leverage AWS services (e.g., S3, Glue, Lambda, Redshift, EMR) for data storage, orchestration, and compute.
  • Optimize performance of Spark jobs and Databricks notebooks for large-scale data operations.
  • Collaborate with data architects, analysts, and business stakeholders to deliver robust data solutions.
  • Implement best practices for data quality, data governance, and security.
  • Participate in code reviews, testing, and deployment of data solutions in DevOps-driven environments.
  • Create and maintain technical documentation, data dictionaries, and process flows.

Required Skills & Experience:

  • Strong hands-on programming experience in Python.
  • Minimum 4+ years of experience working with Databricks, especially with PySpark and Delta Lake.
  • Experience in building and managing data pipelines and ETL processes in cloud environments, particularly AWS.
  • Solid understanding of distributed computing concepts and Spark performance optimization.
  • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, Athena, CloudWatch, etc.
  • Experience with version control (e.g., Git), CI/CD tools, and workflow orchestration tools like Airflow or Databricks Jobs.
  • Knowledge of data modeling, data warehousing, and data lake architectures.
  • Strong problem-solving skills and the ability to work independently or in a team.

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
  • Certification in AWS or Databricks is a plus.
  • Experience working in Agile environments with Jira or similar tools.
  • Familiarity with SQL and NoSQL databases is a plus.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Python Databricks Potential: Insight & Career Growth Guide


Real-time Python Databricks Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Python Databricks in India, India, highlighting market share and opportunities for professionals in Python Databricks roles.

70952 Jobs in India
70952
3919 Jobs in India
3919
Download Python Databricks Jobs Trends in India and India

Are You Looking for Python Databricks Developer Job?

Great news! is currently hiring and seeking a Python Databricks Developer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Vertical Relevance adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Python Databricks Developer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Python Databricks Developer?

Key qualifications for Python Databricks Developer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Python Databricks Developer?

To improve your chances of getting hired for Python Databricks Developer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Python Databricks Developer Job Success

Vertical Relevance interview tips for Python Databricks Developer

Here are some tips to help you prepare for and ace your Python Databricks Developer job interview:

Before the Interview:

Research: Learn about the Vertical Relevance's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Python Databricks Developer interview at Vertical Relevance, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Vertical Relevance's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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