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Python Data Operations Engineer Job Opening In Bengaluru – Now Hiring Confidential


Job description

Responsibilities:

  • Help move products through the development lifecycle from proofs of concept all the way to final, production-ready products Engineer, build and maintain scalable automated datapipelines.
  • Implement best practices in management of data, including data processing,dataquality and lineage.
  • Managing code repositories, code deployments using GIT
  • Automate, maintain and manage system, to ensure the availability, performance, scalability of product.
  • Support regular and ad-hoc data querying and analysis.

Qualifications:

  • 3-5 years of experience in Python and data-focused packages, e.g., Pandas, Numpy; interacting with JSON, XML, CSV, TSV formatted data
  • 3-5 years of experience with snowflake, SQL.
  • 2-3 years of experience with DBT
  • 2-3 years of experience with version control like git, bitbucket, and Linux environment
  • Good to have knowledge of the financial domain.

Skills Required
Python, snowflake , Financial Domain, dbt, Git

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Python Data Potential: Insight & Career Growth Guide


Real-time Python Data 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 Data in Bengaluru, India, highlighting market share and opportunities for professionals in Python Data roles.

209976 Jobs in India
209976
15567 Jobs in Bengaluru
15567
Download Python Data Jobs Trends in Bengaluru and India

Are You Looking for Python Data Operations Engineer Job?

Great news! is currently hiring and seeking a Python Data Operations Engineer 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 Confidential 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 Data Operations Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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 Data Operations Engineer?

Key qualifications for Python Data Operations Engineer 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 Data Operations Engineer?

To improve your chances of getting hired for Python Data Operations Engineer, 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 Data Operations Engineer Job Success

Confidential interview tips for Python Data Operations Engineer

Here are some tips to help you prepare for and ace your Python Data Operations Engineer job interview:

Before the Interview:

Research: Learn about the Confidential'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 Data Operations Engineer interview at Confidential, 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 Confidential'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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