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Job ID1615
Job Title Senior Senior Software Engineer
Permanent/Contract Contract
Travel (%)0
Date Posted 3/11/2019
State/Province ON
Job Description A bank in Downtown Toronto is seeking a Data Engineer for a 6 month contract (renewable).. Enterprise Data Services is seeking a Data Engineer to enable their long-term data goals, seeking a future where data lives on cloud-native infrastructure. They are looking to hire a data engineer to help make this vision a reality, by providing data engineering and development support, and implementing data integration tooling. Reporting to the Senior Manager, Development, and working with a diverse team of data engineers, analysts, and developers, the role will be at the heart of the Plato organization, shaping what the next generation of data tooling looks like. • Reason for request: hiring to assist with the implementation of Aurora for the purposes of creating the OSDs in helping our business partners in the Data Office * Candidate Value Proposition: Working on cloud technology Typical day in role: • Design and implement technical components in cloud-native Big Data (and Massive Data) infrastructure • Build data pipelines to enable cloud-based data analysis and reporting for end users • Research and test the latest data technologies, make recommendations, and implement • Provide technical expertise in designing and implementing data models • Provide proper documentation and generating data features required for modelling, reporting and analysis • Work with management and architects to break down, scope and estimate tasks • Participate in planning and retrospective sessions, attend stand-ups, etc. • Ongoing personal development of both technical and non-technical competencies.
Job Requirements Nice to have skills: 1. 3-5 years of experience as a Data Engineer 2. 2+ years’ experience in development using Java, Node.js, 3. 2+ years’ experience with scripting languages (eg, Java Scripting, Python, Scala, Shell Scripting, etc) 4. 2+ years’ experience designing, developing and implementing in an agile environment 5. 2 years’ experience with cloud-based Big Data ecosystem tools (eg, Google BigQuery, Amazon RedShift, Spark, Apache Airflow, etc) 6. Experience mapping, transforming and visualizing large data sets working with various data formats • Data engineering experience with both structured and unstructured data Nice to have: • 5+ years’ experience and/or demonstrated proficiency in designing and developing cloud-native Big Data toolsets • Deep knowledge of API-based ecosystem interaction • Demonstrated proficiency in adapting to fast-changing working environment, and working in an agile development environment • Working knowledge and experience in development using CI/CD principles and toolsets • Experience in RTC, Jenkins, Confluence, JIRA Degrees or certifications: • Bachelor's degree in a technical field such as computer science, computer engineering or related field required
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