TL;DR

Senior Data Engineer: Designing and developing cloud-native data infrastructure and tools for %hirify_global%’s company-wide data solutions with an accent on data accuracy, reliability, and multi-dimensional data stores. Focus on building lakehouse architectures for analytics, machine learning, and AI use cases, and translating stakeholder requirements into engineering solutions.

Location: Remote with collaboration spaces in Mountain View, Cairo, Dubai, and Noida

Company

%hirify_global% is an Accenture company focused on digital talent transformation through an immersive online learning platform specializing in AI, ML, Data Science, and Cloud Computing.

What you will do

Design and develop infrastructure and tools powering %hirify_global%’s data, analytics, and reporting systems
Collaborate with analysts to generalize data points into multi-dimensional data stores
Build and maintain the lakehouse for analytics, machine learning, and AI use cases using Spark, Airflow, dbt, and Iceberg on AWS
Translate requirements from stakeholders into engineering solutions
Champion agile software development practices and produce high-quality, readable code

Requirements

Must have 6+ years software industry experience, including 3+ years in data engineering
Proficiency in Python, Scala, SQL, and experience with Apache Spark, cloud data storage, and AWS
Experience with Agile methodologies and test-driven development
Ability to troubleshoot data, infrastructure, and code issues
Experience with generative AI is desired
Experience working with US or Europe based remote teams is a strong plus

Culture & Benefits

Flexible remote work with in-person collaboration spaces in multiple global locations
Flexible working hours and paid time off
Comprehensive medical insurance coverage for employees and dependents
Employee wellness resources including access to platforms like Headspace and quarterly wellness days off
Personalized career development and unlimited access to %hirify_global% Nanodegrees