Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Rope test is must.
Data Engineer
Introduction:
We are seeking a skilled Data Engineer to join our team. The Data Engineer will be responsible for designing and implementing data pipelines, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate will have a strong background in Google Cloud Platform/Azure, SQL, Python, Backend API development, and Spark.
Responsibilities:
- Designing and implementing data pipelines to support data analytics and machine learning initiatives
- Optimizing data flow and collection for cross-functional teams
- Developing and maintaining databases and data storage systems
- Collaborating with data scientists and analysts to understand data requirements
- Building scalable and high-performance data processing solutions
- Monitoring and troubleshooting data pipelines
- Ensuring data quality and integrity
- Staying up-to-date with the latest technologies and best practices in data engineering
Requirements:
Required Skills:
- Google Cloud Platform/Azure (not AWS)
- SQL
- Python
- Backend API development
- Spark
Preferred Skills:
- Experience with data warehousing and ETL processes
- Knowledge of data modeling and database design
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
- Ability to work in a fast-paced and collaborative environment
Skills
SQL
AWS
ETL
Machine Learning
Azure
Google Cloud
Python
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