DATA ENGINEER ( Digital Transformation )

Star Services LLC; Abu Dhabi; On-site; AED 40,000 - 60,000; Full time

Job summary

A leading data solutions company in Abu Dhabi is seeking a skilled Data Engineer for Digital Transformation. You will design, develop, and maintain data warehousing solutions with expertise in tools like Redshift, Big Query, and Snowflake. The ideal candidate has at least 5 years of experience in data warehousing and machine learning and proficiency in SQL and Python, alongside knowledge of cloud services like AWS and Google Cloud Platform. Join us to innovate with cutting-edge technologies.

Qualifications

• Minimum of 5 years of experience in data warehousing and machine learning.
• Excellent problem-solving and troubleshooting skills.
• Ability to work independently as well as in a team environment.

Responsibilities

• Design, develop, and maintain data warehousing solutions.
• Implement and optimize machine learning algorithms.
• Create and manage data pipelines using tools like Airflow or Luigi.

Skills

Data warehousing solutions

Machine learning algorithms

SQL

Python

Airflow

AWS

Docker

Education

Bachelor's degree in Computer Science or related field

Tools

Redshift

Big Query

Snowflake

Kubernetes

Google Cloud Platform

Microsoft Azure

Oracle

Job description

About the job DATA ENGINEER ( Digital Transformation )

Job Description: Data Warehouse and Machine Learning Engineer We are seeking a highly skilled and experienced Data Warehouse and Machine Learning Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining data warehousing solutions such as Redshift, Big Query, or Snowflake, as well as implementing and optimizing machine learning algorithms. You will also have a deep understanding of Data pipeline and workflow management tools like Airflow or Luigi, and experience working with cloud services such as AWS, Google Cloud Platform, Microsoft Azure, and Oracle. Additionally, knowledge of Docker and Kubernetes for containerization and orchestration is highly desirable.

Responsibilities

• Design, develop, and maintain data warehousing solutions using Redshift, Big Query, or Snowflake
• Implement and optimize machine learning algorithms to extract insights from large datasets
• Create and manage data pipelines using tools like Airflow or Luigi
• Utilize cloud services such as AWS, Google Cloud Platform, Microsoft Azure, and Oracle to store and process data
• Work with Docker and Kubernetes to containerize and orchestrate data workflows
• Troubleshoot and resolve anomalies in system functionality and performance
• Collaborate with cross-functional teams to understand business requirements and develop data solutions accordingly
• Stay updated with the latest trends and advancements in data warehousing, machine learning, and cloud technologies

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• Minimum of 5 years of experience in data warehousing and machine learning
• Proficiency in SQL and programming languages such as Python or Java
• Strong understanding of data pipeline and workflow management tools like Airflow or Luigi
• Experience working with cloud services like AWS, Google Cloud Platform, Microsoft Azure, and Oracle
• Knowledge of Docker and Kubernetes for containerization and orchestration
• Excellent problem-solving and troubleshooting skills
• Ability to work independently as well as in a team environment
• Strong communication and collaboration skills

If you are passionate about data and have a strong background in data warehousing and machine learning, we would love to hear from you! Join our dynamic team and be a part of building innovative solutions using cutting-edge technologies.