Senior Analyst Data Engineer

Nasdaq Technology is seeking a passionate Data Engineer focused on ETL pipelines to join its Bangalore technology center in India. 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. This role is within the Data Operations and Engineering (DOPE) team, responsible for maintaining data pipelines for Nasdaq Data Link, the world’s largest data marketplace for financial, economic, and alternative data.

Must Have

• 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
• At least 5 years of professional experience in software/data engineering
• Proficiency in Python, 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

Good to Have

• Databricks Data Engineering Associate/Professional certification

Perks & Benefits

• You&Q total rewards program
• Support for building wealth
• Support for career growth
• Prioritizing well-being
• Family care
• Hybrid work model (NasdaqBlend)

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 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 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).
• 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.