Sr. Data Engineer - Python

Why Nasdaq

When you work at Nasdaq, you’re working for more open and transparent markets so that more people can access opportunities. Connections can be made, jobs can be created, and communities can thrive. We want all our employees to have access to opportunity, too. That means planning for career growth, ensuring you have the tools you need, and promoting an inclusive culture where we’re all valued for our unique perspective.

Here, you will work for a global tech leader committed to breaking down barriers to inclusive prosperity. We see technology as a means to free people up to work together more productively and effectively by centralizing data, analytics, and market intelligence.

Here, we’re committed to building a more diverse and inclusive workforce. Not only is it our responsibility to do better, but we also need representative voices to power the fresh thinking that is vital for our business and our clients.

What We Offer

This is a permanent full-time role based in Bonifacio Global City, Taguig following a hybrid work model setup (at least 2 in office days per week).

You can expect an autonomous but fast-paced work environment where you are recognized for your results and ability to drive things forward. Every day brings many opportunities to learn & grow and rewards with a global impact we create.

In return, you will receive HMO coverage for you and your dependents, employee stock purchase plan, equity grant, retirement plan, annual bonus, free counseling sessions, subscription to e-learning platforms, fitness, wellness and more.

What You Will Do

Data Link (https://data.nasdaq.com) is transforming how business decisions are made. Data is the most important resource of the 21st century, and Data Link is at the heart of the emerging data economy. Over the last decade, we’ve built the world’s largest and most successful data marketplace: a platform where over 400,000 professionals buy, sell, create, and consume data. Data Link today is used by everybody from academics to AIs; from two-person fintech start-ups to billion-dollar hedge funds.

Technology is at the heart of what we do at Data Link, and our sophisticated data acquisition, discovery, and delivery infrastructure is the foundation of our success.

At Nasdaq Data Link, the Data Operations and Engineering (DOPE) division is responsible for the millions of datasets that our users consume every day.

As a Sr. Data Engineer - Python, you will contribute to building ingestion pipelines that clean, transform, and load alternative, core and internal Nasdaq datasets into Nasdaq Data Link. You will help structure large quantities of unstructured and semi-structured data through a combination of organized analytical thinking, technical data wrangling and detailed documentation. You will work to ensure completeness, accuracy, timeliness, and reliability of the data.

• Build, implement and support components of our data platform with a strong emphasis on data onboarding and automation

• Automate data ingestion from various sources

• Automate data processing, transformation and quality checks

• Work with various data systems to write distributed data pipelines, and orchestrate real- time & batch processing

• Participate in and champion the team’s code review process, promoting a collaborative, respectful review culture that prioritizes maintainable data pipelines and best practices

What We Expect

• Have at least 6-10+ years of professional experience in software/data engineering role

• Be able to write high-quality, well-documented, high-performance code

• Be eager to learn new technologies and best practices in data engineering by working with a world-class data team

• Solid experience in programming languages, especially Python (required) and SQL

• Solid understanding of Docker and Git for containerization and version control

• Good understanding of AWS services such as S3, EC2, and ECS

• Experience using Databricks or similar data analytics platforms

• Comfortable with command-line tools (Bash/zsh) and handling cloud resources without a GUI

• Be entrepreneurial and enthusiastic about working in a fast-paced environment

• Good communication skills

• Have a Bachelor of Computer Science/Engineering or equivalent degree, or have equivalent qualifications/experience

• Databricks Certified Data Engineering Associate or Professional certifications are a plus

• Must be amenable to work on mid shift throughout the work week and at least twice per week in the Nasdaq office.

Does It Sound Like You?

Please follow through by clicking the “Apply” link and submitting your application. If your skills and experience are a match, we will be in touch soon. In the meantime, please visit our website and social media channels to learn more about our innovative business, inclusive culture and discover why Nasdaq Manila is Great Place To Work certified!

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.