Data Engineer with 8 years experience for MSF (contract)

Contract Duration: 24 months

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, 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

EXPERIENCE AND SKILLS NEEDED

. At least 8 years of relevant past experience

. 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.

. 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.