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5-8 Years
SGD 5,000 - 8,000 per month
Early Applicant
  • Posted 11 hours ago
  • Be among the first 10 applicants

Job Description

  • Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc) to ensure data accuracy and consistency.
  • Proficient in building ETL pipeline (eg. SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Event bridge, AWS Glue ,Spring).
  • Proficient in database design and various databases (e.g. SQL, PostgreSQL, AWS S3, Athena, mongo db, postgres/gis, mysql, sqlite, volt db, 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 frame works and tools (eg. Hadoop, Spark, Kafka, RabbitMQ).
  • Familiar with W3C Document Object Model and customized web scraping (e.g. Beautiful Soup, 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.

More Info

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Job ID: 152522079

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