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DATA ENGINEER

Star Services LLC

Abu Dhabi

On-site

AED 120,000 - 200,000

Full time

7 days ago
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Job summary

A leading data solutions provider in Abu Dhabi is seeking a skilled Data Warehouse and Machine Learning Engineer. The ideal candidate will design and maintain data warehousing solutions and optimize machine learning algorithms. A background in SQL, Python, and experience with cloud services such as AWS and Google Cloud is essential. This role offers a great opportunity to work with cutting-edge technologies in a dynamic team environment.

Qualifications

  • 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.

Responsibilities

  • Design, develop and maintain data warehousing solutions using Redshift, Big Query, or Snowflake.
  • Implement and optimize machine learning algorithms to extract insights.
  • Create and manage data pipelines using tools like Airflow or Luigi.

Skills

Data warehousing solutions
Machine learning algorithms
SQL
Python or Java
Airflow or Luigi
AWS
Google Cloud Platform
Microsoft Azure
Oracle
Docker and Kubernetes

Education

Bachelor's degree in Computer Science, Engineering or related field
Job description

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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 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 crossfunctional 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: Bachelors 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 problemsolving 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 cuttingedge technologies.

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