Lead Data Engineer
Bangalore-Affluence, India
Nasdaq
Get the latest stock market news, stock information & quotes, data analysis reports, as well as a general overview of the market landscape from Nasdaq.Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow. As a Lead Data Engineer, you will play a key role in the delivery of complex technical systems of varying sizes to new and existing customers and will be part of discovering new technologies within the FinTech industry.
We are now looking for a Lead Data Engineer to strengthen the Corporate Access Platform’s AI COE team in Bangalore. You will be responsible for driving the execution of initiatives across the Capital Access Platform’s AI COE program to help various business operations and process simplification and introduce automation via Artificial Intelligence and drive efficiency and productivity.
We are looking for candidates who share those values along with a genuine desire and drive to deliver top technology solutions to today's markets.
With this position we offer
Join the development organization for Capital Access Platform’s AI COE team. The main objective for the development team in Bangalore is to build state of the art AI powered solutions to simplify operations & process across CAP products and drive productivity. As our new member, you will work with a group of enthusiastic and experienced team members. Together with your team, you will be accountable for delivering enhancements and supporting the architecture of the enterprise product as it transitions to new software paradigms.
Your role and responsibilities:
We are seeking an expert Lead Data Engineer to develop machine learning projects from inception to deployment. The ideal candidate will bridge technical and business objectives while leading multi-functional teams to deliver high-impact ML solutions .Lead and architect end-to-end data pipeline solutions for AI/ML projects
We craft and implement scalable data infrastructure to support machine learning operations
We coordinate data quality, governance, and security protocols across platforms
We lead and mentor a team of data engineers and analysts
We collaborate with ML engineers and data scientists to optimize data delivery
We establish best practices, coding standards, and development methodologies
Drive technical decision-making for data architecture and infrastructure
Build and maintain documentation for data systems and processes
Furthermore, you will:
Partner with business stakeholders to understand requirements and deliver solutions
We evaluate and implement new technologies to improve data capabilities.
We lead technical discussions and present solutions to senior management
We optimize data storage and processing costs.
We conduct code reviews and ensure quality standards.
We fix production issues and implement improvements.
We develop strategies for data migration and integration.
We expect you to have
Proven experience in data engineering, with 5+ years in leadership roles
Experienced knowledge of SQL, Python, and data modeling
We look for strong experience with cloud platforms (AWS/Azure/GCP)
Extensive experience with big data technologies (Spark, Hadoop ecosystem)
Consistent track record of building and maintaining data pipelines and data warehousing solutions (e.g., Redshift, BigQuery)
Experience with CI/CD practices and tools
Strong background in data governance and security
Bachelor's/Master's degree or equivalent experience in Computer Science or related field
Education Qualification: Bachelor/Master or equivalent experience in computer science.
It would be great if you
Have experience with MLOps and ML pipeline optimization
Have experience in regulated industries (Finance, Healthcare)
Have contributed to open-source projects
Have experience with real-time streaming technologies
Are familiar with graph databases and processing
Have experience with AI/ML tools and frameworks like TensorFlow or PyTorch
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.
What do we offer you?
Annual monetary bonus.
An opportunity to become a Nasdaq shareholder
Employee Stock Purchase Program Nasdaq stocks with a discount
Health Insurance Program
Flexible working schedule and hybrid way of work
Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays
Internal mentorship program – get a mentor or become one
Wide selection of online learning resources, e.g., Udemy
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 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.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data BigQuery CI/CD Computer Science Data governance Data pipelines Data quality Data Warehousing Engineering Finance FinTech GCP Hadoop Machine Learning MLOps Open Source Pipelines Python PyTorch Redshift Security Spark SQL Streaming TensorFlow
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Salary bonus
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