Data Analytics Engineer

Overview

JD - Data Engineer

Job 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.
  
  

• 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.
  
  

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

• 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
  
  

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