Data Engineering - Senior Specialist
Job Description
- Proficiency with command line and Bash/zsh
- Familiarity with parallel processing frameworks
- Experience with orchestration and scheduling tools
- Experience with distributed data systems like Databricks
- Ambitious and enthusiastic
- Excellent communication and writing skills in English
- Databricks Certified Data Engineering Associate or Professional
- 8-10 years of experience in software/data engineering
- Solid understanding of Python, Java, SQL
- Experience with Databricks and AWS
- Ability to write high-quality, well-documented code
- Understanding of Docker and Git
- Familiarity with AWS services (S3, EC2, ECS)
- Bachelor's degree in Computer Science/Engineering or equivalent
Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow
Nasdaq Data Platform & Operations is transforming how business decisions are made.
We are looking for candidates with a genuine desire and drive to deliver top technology solutions to today's markets
With this position we offer
Join the Capital Access Platform- Product organization, 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.
Role Responsibilities-
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 part of Data Engineering Services team in DOPE, 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 data through a combination of organized analytical thinking, technical data wrangling and detailed documentation.
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.
You will work to ensure completeness, accuracy, timeliness, and reliability of the data.
Design, 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 nurture the team’s code review process, promoting a collaborative, supportive review culture that prioritizes maintainable data pipelines and best practices!
We expect you to have-
- Have at least 8-10years of professional experience in a software/data engineering role
- Have a solid understanding of one or more programming languages: Python (required), Java, SQL, Databricks, AWS.
- 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
- Understanding of Docker, Git, AWS cloud services like S3, EC2, ECS
- Bachelor of Computer Science/Engineering or equivalent degree, or have equivalent qualifications/experience
It would be great if you:
- Solid understanding using the command line, utilities in Bash/zsh, and interacting with cloud resources without a GUI/web-based interface.
- Be familiar with parallel processing frameworks, orchestration and scheduling tools, and distributed data systems such as Databricks.
- Ambitious and enthusiastic about working in a fast-paced environment
- Be able to communicate and write concisely and clearly in English
- Databricks Certified Data Engineering Associate or Professional certifications are a plus!
Does it sound like you?
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.
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.
