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Quest Global
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Data Analytics Engineer

Data Analytics Engineer

Quest Global

5 years

0 Lacs

thiruvananthapuram kerala india

Posted:11 hours ago| Platform:

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Skills Required

data analytics engineering technology design test etl development pipeline visualization kibana sql relational architecture communication programming debugging aws code presentation interfacing python analysis

Work Mode

On-site

Job Type

Full Time

Job Description

Job Requirements

JD - Data EngineerJob Description: Quest Global is an organization at the forefront of innovation and one of the world’s fastest growing engineering services firms with deep domain knowledge and recognized expertise in the top OEMs across seven industries. We are a twenty-five-year-old company on a journey to becoming a centenary one, driven by aspiration, hunger and humility.We are looking for humble geniuses, who believe that engineering has the potential to make the impossible, possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers.As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

Roles & Responsibilities:

Design and develop and maintain scalable and efficient data pipeline.
Data engineering, ETL development and data integration.
Development data pipeline using Python.
Visualization of data in Kibana dashboards.
SQL skills and working with relational databases.
Knowledge of cloud-based data solutions and services.
Take ownership of assigned jobs that are part of new feature implementations, bug fixes and enhancement activities.
Document the projects according to project standards (Architecture, technical specifications)
Technical communication with internal and external stake holders.
Works independently and contributes to the immediate team and work with Architects and other leads.

Required Skills (Technical Competency):

Minimum 5 years of experience in data engineering.
Excellent programming and debugging skills.
Knowledge in Cloud Architecture.
Knowledge in AWS, Azure.
Ability to write effective and reusable code according to best practices.
Operating Systems: Window10/Window11
Databases: SQL Server
Excellent communication and presentation skills. Good customer interfacing skills.

Desired Skills:

Experience in Python, PySpark
Elastic Search, Kibana
Knowledge in SQL Server
Ability to deliver without much supervision from lead/managers

Work Experience

Roles & Responsibilities:

Design and develop and maintain scalable and efficient data pipeline.
Data engineering, ETL development and data integration.
Development data pipeline using Python.
Visualization of data in Kibana dashboards.
SQL skills and working with relational databases.
Knowledge of cloud-based data solutions and services.
Take ownership of assigned jobs that are part of new feature implementations, bug fixes and enhancement activities.
Document the projects according to project standards (Architecture, technical specifications)
Technical communication with internal and external stake holders.
Works independently and contributes to the immediate team and work with Architects and other leads.
Requirement analysis

Desired Skills:

Experience in Python, PySpark
Elastic Search, Kibana
Knowledge in SQL Server
Ability to deliver without much supervision from lead/managers

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Data Analytics Engineer