Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design, build, and launch production-ready data extraction, transformation, and loading pipelines for Presight’s AI platform. Work with complex and new data sources, including web crawling, data cleaning, data annotation, ingestion, and processing. Use Python, SQL, ES, and Shell to build the infrastructure for optimal data ETL, maintain data pipelines, and deliver insights through analytical tools tied to business performance metrics.

Location: Abu Dhabi

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Assess, analyze, and work with data concepts, use-cases, and complex new data sources to support customer needs.
•Design, build, and launch new production data extraction, transformation, and loading processes.
•Handle web crawling, data cleaning, data annotation, data ingestion, and data processing.
•Create and maintain data pipelines and continual process improvement to drive efficiency.
•Build analytical tools on top of the data pipeline to provide insights into key business performance metrics.

Key Requirements

•Proficiency with Python coding skills to solve complex data problems.
•Build production data extraction, transformation, and loading (ETL) processes.
•Experience with data pipelines, including data ingestion and processing.
•Knowledge of web crawling, data cleaning, and data annotation workflows.
•Use Python, SQL, ES, and Shell to support data extraction, transformation, and loading infrastructure.

Skills:Process improvement

Tech Stack:PythonSQLESShell

Company Brief

Presight

Website

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Presight

3 days ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Abu Dhabi

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Assess, analyze, and work with data concepts, use-cases, and complex new data sources to support customer needs.
•Design, build, and launch new production data extraction, transformation, and loading processes.
•Handle web crawling, data cleaning, data annotation, data ingestion, and data processing.
•Create and maintain data pipelines and continual process improvement to drive efficiency.
•Build analytical tools on top of the data pipeline to provide insights into key business performance metrics.

Key Requirements

•Proficiency with Python coding skills to solve complex data problems.
•Build production data extraction, transformation, and loading (ETL) processes.
•Experience with data pipelines, including data ingestion and processing.
•Knowledge of web crawling, data cleaning, and data annotation workflows.
•Use Python, SQL, ES, and Shell to support data extraction, transformation, and loading infrastructure.

Skills:Process improvement

Tech Stack:PythonSQLESShell

Company Brief

Presight

Website