Senior Data Engineer
BiorenderFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need at least 5 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), a Bachelor’s in Computer Science/Engineering or equivalent, and excellent communication and documentation skills in English.
The role is based at the Bangalore technology center in India.
You'll join the Nasdaq Data Link Data Operations and Engineering (DOPE) team in a fast-paced, collaborative environment, working closely with colleagues in Bangalore and Nasdaq teams in other countries, participating in code reviews to promote best practices.
Preferred qualifications include having a Databricks Data Engineering Associate/Professional certification.
This information is not specified in the job description.
Operates electronic stock exchange and financial services
Nasdaq operates one of the largest electronic stock exchanges in the world, providing a platform for buying and selling securities. It caters to a wide range of clients, including individual and institutional investors, as well as corporations. Nasdaq offers various financial products and services, such as the Nasdaq Smart Portfolio, which uses advanced analytics to help investors optimize their stock portfolios. Additionally, Nasdaq supports non-financial marketplaces and is recognized for its efforts in sustainable investment practices. The company earns revenue through transaction and listing fees, along with subscription services for its products. Nasdaq aims for global expansion and innovation, with nearly 40 offices around the world.