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Nasdaq’s Data Product Development group is looking for a passionate Senior Specialist, 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 embrace new technologies to develop innovative solutions, constantly striving to rewrite tomorrow. As a Senior Specialist, Data Engineering , you will work with a team of data product managers, data scientists, and 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 data solutions to power investment decisions. With this position we offer Join Nasdaq’s Product Development and Innovation group, specializing in crafting outstanding and informative 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. Role Responsibilities Working alongside top-tier professionals in Product Management, Product Development, and AI & Automation, you will play a pivotal role in developing new data products and bringing them to market. 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 supervising to ensure completeness, accuracy, timeliness, and reliability. We expect you to have: 7+ years programming experience in Python, Spark, SQL, Java, and/or Unix shell scripting. Strong domain knowledge in the capital markets. Strong foundation in exploratory data analysis, data onboarding, and data pipelines. 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 great if you 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? As the selection process is ongoing, please submit your application in English as soon as possible. Come as you are Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information or any other status protected by applicable law. Nasdaq is a leading global provider of trading, clearing, exchange technology, listing, information, and public company services. As the creator of the world's first electronic stock market, its technology powers more than 100 marketplaces in 50 countries. Nasdaq is home to over 4,000 total listings with a market value of approximately $12 trillion. To learn more about our business, visit business.nasdaq.com. Check out more about our Life at Nasdaq. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
