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Open nowPosted 6 days ago

Data Engineer

MyCareersFuture94,028 open roles

Pay
SGD 6,000 a month
Where
Singapore
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Your applicationOpen nowData EngineerMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 6 days ago

The posting

Data Engineer

RESPONSIBILITY - 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.

EXPERIENCE AND SKILLS NEEDED - 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, 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.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews. Tech Aalto Pte Ltd | 24S2130 EA |Pushpanjli Kir | R1657306.

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