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Data Engineer

2 months ago

SingaporeSG, Singapore Cognizant Full time

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

• 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 environmentsInterest in being the bridge between engineering and analytics.