全职 Mid Level Data Engineer 工作, 薪水 up to SGD 8,800, BASIL TECHNOLOGIES PTE. LTD. 公司招聘中 - Ricebowl

Location: Buona Vista - Singapore

Job description

• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.
• The team is expected to perform Data Warehousing tasks, mainly in AWS GCC, and manage APIs

Qualifications

• Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc) to ensure data accuracy and consistency.
• Proficient in building ETL pipeline (e.g. SQL Server Integration Services
• (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g. SQL, PostgreSQL, AWS S3, Athena, MongoDB, postgres/gis, MySQL, SQLite, voltdb, Cassandra, etc).
• Experience in cloud technologies such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
• Experience and passion for data engineering in a big data environment using Cloud platforms such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge about system design, data structure and algorithms.
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtualisation and Data Warehouse for efficient storage and retrieval.
• Familiar with rest api and web requests/protocols in general.
• Familiar with big data frameworks and tools (eg. Hadoop, Spark, Kafka, RabbitMQ).
• Familiar with W3C Document Object Model and customized web scraping (e.g. BeautifulSoup, CasperJS, PhantomJS, Selenium, Nodejs, etc).
• Familiar with data governance policies, access control and security best practices.
• Comfortable in at least one scripting language (eg. SQL, Python).
• Comfortable in both windows and Linux development environments.
• Interest in being the bridge between engineering and analytics

Pay: $8,500.00 - $8,800.00 per month

Benefits:

• Health insurance

Work Location: In person