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Python Data Engineer Job Opening In Bengaluru – Now Hiring Confidential


Job description

Job Description

Talent Worx is a growing services & recruitment consulting firm, we are hiring for our client which is a leading Big4 Consulting firm and provider of financial intelligence, data analytics, and AI-driven solutions, empowering businesses worldwide with insights for confident decision-making.

Join to work on cutting-edge technologies, drive digital transformation, and shape the future of global markets.

We are looking for a Python Data Engineer with deep expertise in API development, big data processing, and cloud deployment.

The ideal candidate will have experience with FastAPI, PySpark, and DevOps pipelines, and be capable of leading a team while delivering high-performance, scalable data-driven applications.

Key Responsibilities

  • API Development: Design, build, and maintain scalable APIs using FastAPI and RESTful principles.

  • Big Data Processing: Develop efficient data pipelines using PySpark to process and analyze large-scale datasets.

  • Full-Stack Integration: Collaborate with frontend teams to implement end-to-end feature integration and ensure seamless user experiences.

  • CI/CD Pipelines: Create and manage CI/CD workflows using GitHub Actions and Azure DevOps to support reliable and automated deployments.

  • Containerization: Build and deploy containerized applications using Docker for both development and production environments.

  • Team Leadership: Lead and mentor a team of engineers; conduct code reviews and provide technical guidance to ensure best practices and quality standards.

  • Code Optimization: Write clean, maintainable, and high-performance Python code with a focus on scalability and reusability.

  • Cloud Deployment: Deploy, monitor, and maintain applications in Azure or other cloud platforms ensuring high availability and resilience.

  • Cross-Functional Collaboration: Work with product managers, designers, and other stakeholders to transform business requirements into technical solutions.

  • Documentation: Maintain clear and comprehensive documentation for APIs, systems, and workflows to support ongoing development and maintenance.

Requirements

      • Programming: Advanced proficiency in Python, with hands-on experience in FastAPI and REST API development.

      • Big Data: Expertise in PySpark and large-scale data processing techniques.

      • DevOps Tools: Strong knowledge of GitHub Actions, Azure DevOps, and Docker.

      • Cloud Platforms: Experience with Azure or similar cloud environments for deployment and scaling.

      • System Integration: Demonstrated experience in backend-to-frontend integration.

      • Leadership: Proven track record of leading and mentoring software development teams.

      • Collaboration: Excellent communication skills

        Note: We are looking for immediate joiners only - who can join us in less than a month.

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.

190628 Jobs in India
190628
12491 Jobs in Bengaluru
12491
Download Python Data Jobs Trends in Bengaluru and India

Are You Looking for Python Data Engineer Job?

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

Key qualifications for Python Data 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.

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Interview Tips for Python Data Engineer Job Success

Confidential interview tips for Python Data Engineer

Here are some tips to help you prepare for and ace your Python Data 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.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Python Data 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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