Activate Interactive Pte Ltd
technology consultancy
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Activate Interactive Pte Ltd. Skills: Data Engineering, ETL, Data Pipelines, Cloud Technologies, Database Design, Big Data. 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”
What You'll Achieve.
increase their business efficiency; build scalable data driven products
Industry & Context.
system design; data structure; algorithms
1 year contract
What They're Looking For.
Must Have
Proficient in general data cleaning and transformation (e. g. SQL, pandas, R, etc), 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, Databricks), 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
Nice to Have
Interest in being the bridge between engineering and analytics
What You'll Do.
develop and deploy data tables
views and marts in data warehouses
operational data store
data lake and data virtualization
Perform data extraction
Web scraping may be also a part of the work scope in data extraction
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
Be responsible for developing backend APIs & working on databases to support the applications
How You'll Work.
Team & Collaboration
Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data driven products; Work closely with fellow developers through pair programming and code review process
Full Job Description
Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency. We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realize their full potential, who in turn have the opportunity to continuously drive innovation. We are searching for our next team members to join our growing team. If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you. Co-Development Business Unit is hiring for Data Engineer. This is a 1 year contract. **What will you do?** * 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. **Requirements** *
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