Data Automation Engineer

Posted 23 Hours Ago
Be an Early Applicant
Hiring Remotely in Kalyubia Province
Remote
1-3 Years Experience
Cloud • Enterprise Web • Hardware • Information Technology • Internet of Things • Robotics • Semiconductor
A global provider of technology products, services, and solutions.
The Role
As a Data Automation Engineer, you will develop and maintain automated data processing systems, design data pipelines, integrate data from various sources, ensure data quality, and collaborate with data teams for efficient data processing.
Summary Generated by Built In

Position:
Data Automation Engineer
Job Description:
Job Overview:
As a Data Automation Engineer, you will play a crucial role in developing and maintaining automated data processing systems. You will work closely with data analysts, and other stakeholders to design, implement, and optimize data pipelines, ensuring the efficient and accurate flow of data throughout the organization.
What You'll Do:

  • Develop and implement automated data pipelines for ingesting, processing, and storing structured and unstructured data.
  • Integrate data from various sources in real-time and batch mechanisms and perform transformations to ensure consistency, accuracy, and reliability.
  • Implement data quality checks and monitoring mechanisms to identify and address issues proactively.
  • Write code and scripts for automation of data processes using languages such as Python, Java, or Scala.
  • Leverage ETL (Extract, Transform, Load) tools and frameworks [Apache spark, AWS Glue] for efficient data processing.
  • Collaborate with other intelligent data teams.
  • Ensure seamless data flow for machine learning and analytics applications.
  • Collaborate with other intelligent data teams.
  • Ensure seamless data flow for machine learning and analytics applications.
  • Implement monitoring systems to track data pipeline performance and identify areas for optimization.
  • Continuously optimize data processes for efficiency and scalability.
  • Document data processes, system architecture, and codebase for knowledge sharing and future reference.
  • Keep documentation up-to-date with any changes or enhancements to the data infrastructure.
  • Implement and adhere to data security and compliance standards.
  • Collaborate with security teams to ensure data protection and privacy.


You're a Perfect Fit If You Have:

  • 1+ years of experience in data engineering, automation, or a related field.
  • Strong understanding of data pipelines and data lifecycle management.
  • Proficiency in scripting languages like Python, Shell, or similar.
  • Experience with data automation tools (Airflow, Luigi, etc.) is a plus.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills to work effectively across teams.
  • Knowledge of cloud platforms (AWS, Azure, GCP) for data processing.
  • Knowledge of data warehousing and data quality methodologies.
  • Experience with data visualization tools (Tableau, Power BI)


Location:
EG-Banha, Egypt (EI Corniche Street)
Time Type:
Full time
Job Category:
Information Technology

Top Skills

Java
Python
Scala

What the Team is Saying

Kim Tedesco
Marta Bialach-Wiercinska
Ricardo Rodriguez
Michelle
Taylor
The Company
HQ: Centennial, CO
22,000 Employees
On-site Workplace
Year Founded: 1935

What We Do

A Fortune 500 company, ranked #133 in 2024, with over 22,000 employees worldwide, Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2023 sales of $33 billion, Arrow develops technology solutions that improve business and daily life. Arrow.com is the easiest place for innovators to create, make and manage technology.

Why Work With Us

Arrow is much more than products and services. We are a team of many backgrounds in a global ecosystem, working toward one common goal: to help customers create a better tomorrow, where innovation improves the quality of life and the benefits of technology are more accessible to all. Join us in building a better tomorrow for many!

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