Senior Manager, Data Engineering
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- Have you ever applied or worked for Nasdaq or any of its subsidiaries or affiliates?
- Do you have any contractual or policy restrictions (e.g.: non-competition, non-solicitation, non-disclosure clauses, or an employment agreement restriction) with your current or any previous employer that could limit your availability to work for Nasdaq?
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- Have you ever been convicted of, pled guilty or no contest to, participated in pre-trial proceedings or a post-proceeding sentence for (1) felony offenses, (2) any misdemeanor offenses involving crimes of dishonesty or breach of trust including theft, money laundering, embezzlement, or the manufacture, sale, distribution of, or trafficking in controlled substances or criminal conspiracy, or (3) multiple Driving Under the Influence (DUI) convictions, within the past seven (7) years? A “Yes” answer will not automatically bar you from employment with Nasdaq. Each situation will be reviewed on its own merits.
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- Have you ever had any (or pending) disciplinary actions taken, or sanctions imposed against you, by the Financial Industry Regulatory Authority (FINRA), the U.S. Securities and Exchange Commission, any related state agency, or national securities exchange, in relation to any violation of the law, applicable rules or ethical standards governing conduct in the securities business? A “Yes” answer will not automatically bar you from employment with Nasdaq. Each situation will be reviewed on its own merits.
About this role
Employer-provided description, formatted for easier reading.
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.