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Calypso Technology
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Data Engineering -Sr. Specialist

Data Engineering -Sr. Specialist

Calypso Technology

6 - 10 years

20 - 25 Lacs

Bengaluru

Posted:1 month ago| Platform:

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Skills Required

Engineering services Computer science Automation orchestration GIT Analytical Data processing Scheduling SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Nasdaq Technology is looking for a passionate Senior Specialist with focus on Data Engineer to join the Bangalore office 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 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 todays 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 writ e distributed data pipelines, and orchestrat e 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 8-10 years 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 Databric k s .

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 Profession al 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.

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Data Engineering -Sr. Specialist