Senior Manager, Data Engineering

Nasdaq; Bengaluru; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

Nasdaq’s Bangalore technology center seeks a Senior Manager, Data Engineering to lead a team delivering scalable data pipelines and curated datasets powering new financial data products.

You will guide data engineers, enforce quality, and collaborate with Product Management and AI & Automation to bring data products to market in a hybrid-first environment with emphasis on innovation and reliability.

Qualifications

• 10+ years programming experience in Python, Spark, SQL, Java, and/or Unix shell scripting.
• 2+ years leading a high-performing data engineering team.
• Proven knowledge of financial markets data analysis.
• Cloud and systems experience in AWS (S3/EC2), Databricks, and Linux.
• Strong understanding of Git or other version control software.
• Bachelor's degree in Computer Science, Computer Engineering, or a related discipline.

Responsibilities

• 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.

Skills

Python

Spark

SQL

Java

Unix shell scripting

Education

Bachelor's degree in Computer Science or related

Tools

Git

Databricks

Job description

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).

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.