DATA ENGINEER

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:

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

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or a related field.
2. Minimum of 5 years of experience in data warehousing and machine learning.
3. Proficiency in SQL and programming languages such as Python or Java.
4. Strong understanding of data pipeline and workflow management tools like Airflow or Luigi.
5. Experience working with cloud services like AWS, Google Cloud Platform, Microsoft Azure, and Oracle.
6. Knowledge of Docker and Kubernetes for containerization and orchestration.
7. Excellent problem-solving and troubleshooting skills.
8. Ability to work independently as well as in a team environment.
9. 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.