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Senior Analyst Data Engineer

Senior Analyst Data Engineer

Nasdaq

5 - 10 years

11 - 16 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

computer science automation git focus data processing engineering associate software solutions associate professional sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 todays 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.

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Senior Analyst Data Engineer