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AWS Senior Data Engineer(6+ Years of Exp)

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

India

Offer summary

Qualifications:

6+ years of experience in Data Engineering, Expert in designing data schemas, Proficient in writing SQL queries, Experience with AWS cloud services, Strong background in data pipeline automation.

Key responsabilities:

Design, build and maintain data infrastructure
Improve quality and reliability of data pipelines
Develop optimized end-to-end data solutions
Automate manual processes for self-service
Mentor teammates on data platform operations

3Pillar Large http://www.3PillarGlobal.com/

1001 - 5000 Employees

See more 3Pillar offers

Job description

At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Senior Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.

Responsibilities

6+ Years of relevant industry experience in Data Engineering working with large scale data driven systems.

Experience designing data schemas and fine-tuning SQL queries around large, complex data sets. (Expert)

Experience with AWS

Design, build and maintain data infrastructure that powers both batch and realtime processing of billions of records a day.

Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection.

Design, build and maintain a central data cataloging system to ease integration and discovery of datasets.

Develop data pipelines that provide fast, optimized, and robust end-to-end solutions.

Automate manual processes and create a platform in favor of self-service data consumption.

Deploy and configure components to production environments.

Participate in an on-call schedule to provide emergency incident support.

Mentor and train teammates on design and operation of data platforms.