Sr. Data Engineer

4 hours ago

Bengaluru, Karnataka, India Nasdaq Full time ₹ 1,20,000 - ₹ 2,40,000 per year
Nasdaq Technology is looking for a passionate Data Engineer with a focus on ETL pipelines, to join the Bangalore technology center in India. If Innovation and effectiveness 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 aiming to rewrite tomorrow. As a Sr. Data Engineer, you will design, build, and improve data ingestion pipelines and automation for Nasdaq Data Link, ensuring data completeness, accuracy, and reliability in a fast-paced, collaborative environment.

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 Nasdaq Data Link Data Operations and Engineering (DOPE) team, responsible for building and maintaining data pipelines that power Nasdaq Data Link, the world's largest data marketplace for financial, economic, and alternative data.

Role Responsibilities -

As a Sr. Data Engineer, your focus will be developing and implementing software solutions. Besides working closely with your colleagues in Bangalore, you will also work closely with Nasdaq teams in other countries:

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

We expect you to have: (Minimum Qualifications)

  • At least 10 years of professional experience in software/data engineering.

  • Proficiency in Python (required), Java, SQL.

  • Experience with Docker, Git, AWS (S3, EC2, ECS), Databricks.

  • Strong command-line and scripting skills (Bash/zsh).

  • Bachelor's in Computer Science/Engineering or equivalent experience.

  • Excellent communication and documentation skills in English.

It would be great if you (Preferred Qualifications)

Have a Databricks Data Engineering Associate/Professional certification.

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 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.

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