Data Analytics Engineer

About the role

Quest Global is seeking a Data Analytics Engineer to design, develop, and maintain scalable data pipelines. You will work with cutting‑edge cloud technologies and help transform raw data into actionable insights for Fortune 500 customers.

Key responsibilities

• Design, develop, and maintain efficient data pipelines using Python.
• Perform ETL development, data integration, and data engineering tasks.
• Create visualisations and dashboards in Kibana.
• Write and optimise SQL queries for relational databases such as SQL Server.
• Leverage cloud‑based data solutions and services (AWS, Azure).
• Document architecture and technical specifications according to project standards.
• Communicate technical details with internal and external stakeholders.
• Work independently and collaborate with architects and team leads.

Required profile

• Minimum 4 years of experience in data engineering.
• Strong programming and debugging skills.
• Knowledge of cloud architecture and services (AWS, Azure).
• Ability to write reusable, best‑practice code.
• Experience with Windows 10/11 operating systems.
• Excellent communication and presentation abilities.

Required skills

• Python
• PySpark
• Elastic Search
• Kibana
• SQL Server
• AWS
• Azure
• Cloud Architecture
• ETL development
• Data pipelines
• SQL