Job 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

Job Requirements

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 Virtualization 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.

Data Engineer