Senior Manager, Data Engineering

nasdaq· NOIP Nasdaq Corporate Solutions (India) Private Limited
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📍 India - Bangalore - KarnatakaFull time
Full timeNOIP Nasdaq Corporate Solutions (India) Private Limited

About this role

Nasdaq’s Data Product Development group is looking for a passionate Senior Manager, Data Engineering to join the Bangalore technology center in India. If innovation and efficiency drive you forward, this is the place for you!

Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly striving to rewrite tomorrow. As a Senior Manager, Data Engineering, you will lead a team of data engineers building scalable data pipelines and curated datasets that power new financial data products, ensuring completeness, accuracy, timeliness, and reliability from onboarding through production delivery.

We are looking for candidates who share our values along with a genuine desire and drive to deliver top technology solutions to today’s markets.

With this position we offer :

Join Nasdaq’s Data Product Development group, specializing in crafting unique and insightful data products from traditional sources (stock prices, fundamentals) as well as non-traditional sources such as Alternative Data (satellite imagery, consumer transactions, GPS transponders). Using data from internal and external sources, we deliver innovative products that power some of the world’s most successful organizations.

Your roles and responsibilities include :

Working alongside seasoned professionals in Product Management, Product Development, and AI & Automation, you will lead a team of Data Engineers that plays a pivotal role in developing new data products and bringing them to market.

  • Lead and mentor a high-performing team of data engineers; set technical direction and delivery standards.
  • Design and build data pipelines to onboard, extract, load, transform, and enrich new data sources.
  • Apply domain knowledge of financial data to curate datasets and accelerate product development.
  • Partner with Product Management and Product Development to analyze, validate, and transform datasets into finished products.
  • Collaborate with AI & Automation to advise on and adopt AI-powered workflow tools that scale delivery and drive efficiency.
  • Implement robust data quality checks and monitoring to ensure completeness, accuracy, timeliness, and reliability.

We expect you to have: (Minimum Qualifications)

  • Minimum 10+ years Programming experience in Python, Spark, SQL, Java, and/or Unix shell scripting and atleast 2+ years’ experience leading a high-performing team.
  • Strong foundation in exploratory data analysis, data onboarding, and data pipelines.
  • Proven knowledge of financial markets data analysis (e.g., stock market prices and volumes).
  • Cloud and systems experience in AWS (S3/EC2), Databricks, and Linux.
  • Solid understanding of Git or other version control software.
  • Strong organizational and communication skills (verbal and written); comfortable in a fast-paced, startup-style environment.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline.

It would be phenomenal if you: 

 

  • Have previous experience crafting financial data products.

  • Experience working with Alternative Data sources (e.g., satellite imagery, consumer transactions, mobility/GPS).

 

Does it sound like you? What happens now? 

 

As the selection process is ongoing, please submit your application in English as soon as possible. We will get back to you in 2-3 weeks. 

 

What will it be like working here?   

Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. We are a Hybrid-first environment that embraces work-life balance and fosters well-being.   

 

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

Frequently Asked Questions

Is the salary disclosed for the Senior Manager, Data Engineering position at nasdaq?
The salary for this Senior Manager, Data Engineering role at nasdaq is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Manager, Data Engineering position at nasdaq located?
This Senior Manager, Data Engineering role at nasdaq is based in India - Bangalore - Karnataka. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Manager, Data Engineering role at nasdaq full-time or part-time?
This is listed as a Full time position. It is posted as a Senior Manager, Data Engineering role in the NOIP Nasdaq Corporate Solutions (India) Private Limited department at nasdaq.
Which team or department does the Senior Manager, Data Engineering at nasdaq belong to?
This Senior Manager, Data Engineering position is part of the NOIP Nasdaq Corporate Solutions (India) Private Limited department at nasdaq. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior Manager, Data Engineering position at nasdaq?
Click the "Apply Now" button on this page. You will be redirected to nasdaq's official application portal hosted on workday where you can submit your application directly.
When was the Senior Manager, Data Engineering job at nasdaq posted?
This Senior Manager, Data Engineering position at nasdaq was posted on Aug 14, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Manager, Data Engineering
nasdaq
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