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Cloud Data Pipeline Architect Job Opening In India, India – Now Hiring Tata Consultancy Services


Job description

Key Responsibilities

  • Design and Implement Data Architectures: Architect and build scalable, end-to-end data solutions on GCP, encompassing data ingestion, transformation, storage, and consumption.
  • Develop Data Pipelines: Design and develop ETL/ELT data pipelines using tools like Apache Airflow (Cloud Composer) and programming languages such as Python and SQL for batch and real-time processing.
  • Create Data Models: Build logical and physical data models, including dimensional modelling and schema design, to support data warehousing, data lakes, and analytics.
  • Ensure Data Quality and Governance: Establish and enforce data governance, security, and quality standards, implementing data validation and testing procedures.
  • Collaborate with Stakeholders: Work with data engineers, business analysts, data scientists, and product owners to translate business requirements into technical data solutions.
  • Optimize GCP Services: Optimize the performance and cost-effectiveness of GCP services, particularly Big Query, for analytics and data storage.
  • Provide Technical Guidance: Lead architectural reviews, provide technical guidance on cloud-native data strategies, and mentor engineering teams on GCP best practices.

Required Skills and Knowledge

  • Google Cloud Platform (GCP): Expertise with GCP services like BigQuery, Cloud Storage, Cloud SQL, and Cloud Composer.
  • Data Modelling: Proficiency in designing data models for data warehouses and data lakes.
  • ETL/ELT: Experience with designing and building data pipelines using tools like Apache Airflow.
  • Programming: Strong skills in SQL and Python for data processing and development.
  • Data Governance: Understanding and ability to implement data governance, metadata management, and security policies.
  • Collaboration: Strong communication skills to work with cross-functional teams and explain complex technical concepts.

Required Skill Profession

Computer Occupations


  • Job Details

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Are You Looking for Cloud Data Pipeline Architect Job?

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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 Tata Consultancy Services 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 Cloud Data Pipeline Architect 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 Cloud Data Pipeline Architect?

Key qualifications for Cloud Data Pipeline Architect 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 Cloud Data Pipeline Architect Job Success

Tata Consultancy Services interview tips for Cloud Data Pipeline Architect

Here are some tips to help you prepare for and ace your Cloud Data Pipeline Architect job interview:

Before the Interview:

Research: Learn about the Tata Consultancy Services'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.

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

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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 Cloud Data Pipeline Architect interview at Tata Consultancy Services, 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 Tata Consultancy Services'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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