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 APls & 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.

* 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, Katka,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.