Job Detail

Data Integration Engineer - Quant

Date Posted: Mar 06, 2024

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Job Detail

Location:

Riyadh , Saudi Arabia
Company:

Quant
Type:

Full Time/Permanent
Shift:

First Shift (Day)
Career Level:

NA
Positions:

1
Experience:

4-5 years
Gender:

No Preference
Degree:

NA
Apply Before:

Jun 06, 2024

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Job Description

This is a remote position.

Job Role:

Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging the vast array of data resources available in the fourth industrial revolution. We are deeply committed to delivering exceptional Data Science and AI SaaS products and solutions, with a specialized focus on the real estate sector through Suhail and the retail sector through Fruits360. Our talented dream team possesses unique expertise, enabling us to achieve a track record of marvels, from analyzing more than a trillion data records to serving hundreds of clients across more than 10 industries. Our strategic international and local partnerships alongside our expertise have positioned us as trailblazers in the global transition towards data-driven economies.

We are a dynamic and forward-thinking organization committed to leveraging data-driven initiatives to shape the future. Join our team and play a pivotal role in driving our data strategy forward.

Key Responsibilities:

Identify and integrate data sources to meet business stakeholder requirements.
Address data quality issues in collaboration with data source owners.
Deploy advanced algorithms, analytics programs, and statistical methods.
Perform Extract, Transform, Load (ETL) operations to prepare data for analysis.
Design and maintain scalable data pipelines in Azure cloud environment.
Integrate new data management technologies and tools.
Build datasets to support data-driven insights and decision-making.
Orchestrate workflows using Apache Airflow for efficient data pipeline execution.
Develop customized software components and analytics applications.
Collaborate with colleagues to ensure a flexible and scalable data platform.
Maintain project documentation.

Requirements

Requirements & Preferred Certifications:

Bachelor's and/or Master’s degree in Computer Science or related field.
Relevant certifications are preferred.

Preferred Skillset:

5+ years of experience in data engineering roles, with a proven track record of delivering complex projects.
Familiarity with data architecture and big data technologies.
5+ years of experience in Python(OpenCV, Pandas, NumPy, PySpark), C#(Entity framework and API Integration) , and web frameworks(.NET).
5+ years of experience in Databases (SQL: Microsoft SQL Server, PostgreSQL, MySQL; NoSQL: MongoDB, Elasticsearch)
2+ years of experience in Apache Airflow.
Technical writing experience for documentation.
Alteryx experience is plus.
Experience with machine learning is plus.
Data Visualization Tools: Tableau, PowerBI experience is a plus.