Data Engineer
3 weeks ago
Experience in Data Lake (Warehouse)
Proficiency in AWS services such as Redshift, Glue, and Quicksight
Advanced knowledge of Python for data manipulation and scripting
Familiarity with SQL Server, particularly SSIS (SQL Server Integration Services) and SSRS (SQL Server Reporting Services)
Proficiency in C# is a plus
Strong understanding of backend engineering principles and integration techniques
Responsibilities:
Design, develop, and maintain data pipelines and workflows to support our data lake infrastructure
Implement and optimize data storage solutions using AWS services like Redshift and Glue
Develop scripts and tools in Python to automate data processing tasks and improve efficiency
Collaborate with cross-functional teams to understand data requirements and ensure smooth integration with existing systems
Perform data analysis and troubleshooting to identify and resolve issues in data pipelines
Stay updated on emerging technologies and best practices in data engineering and recommend improvements to existing processes
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field
Proven experience in backend or data engineering roles
Strong programming skills in Python and SQL
Experience working with AWS services in a production environment
Familiarity with C# is a plus
Excellent problem-solving skills and attention to detail
Ability to work independently and as part of a team in a fast-paced environment
If you are a passionate Data Engineer with a solid foundation in backend engineering and integration, we encourage you to apply. Please reach out to our recruiter to discuss this exciting opportunity further.
Location: Onsite (Quezon City site)
Work schedule: US hours (9PM -6PM)
Work set up: Full time
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