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Data Pipeline Engineer Job Opening In Hyderabad – Now Hiring TMUS Global Solutions


Job description

About T-Mobile:

T-Mobile US, Inc.

(NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile.

Customers benefit from an unmatched combination of value, quality, and exceptional service experience.


TMUS Global Solutions:

TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation.

With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

TMUS India Private Limited operates as TMUS Global Solutions.


About the Role:

The Data Engineer is responsible for designing and building the infrastructure required for efficient extraction, transformation, and loading (ETL) of data from various sources using SQL, Azure, and AWS big data technologies.

The role includes identifying and implementing improvements in processes such as automation, optimization of data delivery, and scalability enhancements.


The engineer collaborates with cross-functional teams to ensure the data infrastructure is scalable, reliable, and optimized for analytics and data science use cases.

This position is instrumental in delivering high-quality data pipelines that enable better decision-making and operational efficiency at T-Mobile.


What You’ll Do:

  • Create and maintain scalable and robust data pipeline architectures, visualization tools, and analytics platforms.
  • Assemble large and complex data sets that meet both functional and non-functional business requirements.
  • Build analytics tools leveraging pipeline data to generate insights for business performance, customer acquisition, and operational efficiency.
  • Partner with internal stakeholders to resolve technical issues and support evolving data infrastructure needs.
  • Develop internal tools for use by analytics and data science teams to improve data performance and usability.
  • Collaborate with analytics teams to increase overall system functionality and data accessibility.
  • Participate in process improvements, automation, and infrastructure redesign projects.
  • Perform additional duties and cross-functional projects as needed.


What You’ll Bring:

  • Bachelor’s degree in Computer Science, Information Systems, Informatics, Statistics, or related quantitative discipline — or equivalent experience.
  • 2–4 years of experience in data engineering roles.
  • Experience with designing and optimizing big data pipelines, architecture, and datasets.
  • Hands-on experience in SQL
  • Strong problem-solving skills with the ability to perform root cause analysis.
  • Familiarity with cloud environments (e.G., Azure, AWS).
  • Excellent communication and collaboration abilities.


Must Have Skills:

  • SQL
  • Tableau/Power BI Virtualization tool


Nice To Have:

  • Experience with dashboarding or BI tools.
  • Exposure to machine learning or predictive analytics use cases.
  • Familiarity with data governance and privacy principles.
  • One of the following languages: Python, Java, Scala, Go, or DAX.
  • Power Apps

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Pipeline Potential: Insight & Career Growth Guide


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

151414 Jobs in India
151414
6576 Jobs in Hyderabad
6576
Download Data Pipeline Jobs Trends in Hyderabad and India

Are You Looking for Data Pipeline Engineer 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 TMUS Global Solutions 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 Data Pipeline Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Hyderabad. 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.

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Key qualifications for Data Pipeline 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 Data Pipeline Engineer Job Success

TMUS Global Solutions interview tips for Data Pipeline Engineer

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

Before the Interview:

Research: Learn about the TMUS Global Solutions'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.

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

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

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Final Thought:

To prepare for your Data Pipeline Engineer interview at TMUS Global Solutions, 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 TMUS Global Solutions'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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