[1 year contract, renewable]
In this role of a Data Engineer, you will be pivotal in designing, developing, and maintaining our data infrastructure, crucial for supporting advanced data-driven solutions. Your expertise will drive the creation of efficient data pipelines, integration of diverse data sources, and development of scalable products.
Responsibilities:
· 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, UX 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
Qualifications:
• 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), RedShift, 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.
• 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)
• 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.
We are looking for multiple Data Engineers to work on various projects. Specific stack and requirements will be made know to the short-listed applicants. Applicants need not to have all the qualifications.