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Job ID1618
Job TitleSoftware Engineer - Python
Permanent/Contract Contract
Travel (%)0
Date Posted 3/13/2019
State/Province ON
Job Description A bank in Downtown Toronto is looking for 3 Software Engineer for a 6 month contract Renewable! The Enterprise Data Services - Data Engineering Department is responsible for building in-house tools for Data Engineering projects - supporting the entire Globalbank's organization! There are 9 other developers on this team. The Software engineer will work on next generation data infrastructure, supporting new functionalities on existing platform, and mining data for analytics insights and product features. Project Specifics :- Developing code for in-house java based ETL Tool. 10am-3pm office hours mandatory - the rest is flexible - 7.5hrs/day The successful candidate will be supporting the entire Global bank's organization and will have the opportunity to be extended onto new projects. Typical Day in Role: • Fine-tune and improve a variety of sophisticated software implementation projects • Gather and analyze system requirements, document specifications, and develop software solutions to meet client needs and data • Analyze and review enhancement requests and specifications • Implement system software and customize to client requirements • Prepare the detailed software specifications and test plans • Code new programs to client’s specifications and create data for testing • Modify existing programs to new standards and conduct unit testing of developed programs • Create migration packages for system testing, user testing, and implementation • Provide quality assurance reviews • Perform post-implementation validation of software and resolve any bugs found during testing
Job Requirements Must Have Skill: • Strong coding skills with Python (3+years of hands on experience) - Candidates with exposure to Data warehousing or data structure with Python will get preference • Data Warehousing (2+ years of hands on experience) • Experience with process optimization (2+ years) Nice-to-have: • Exposure or knowledge of ETL tools such as Informatica or Talend • Exposure to Big Data Tools (ability to write native Map reduce scripts is a preference) • Experience developing complex queries, pipelines, and software/programs to solve analytics and data mining problems
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