Role: Cloud Data Engineer
Duration: 6 Months
Location : Toronto
Key Job Accountabilities:
- 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 Qualifications:
Minimum Qualifications:
- 2+ years’ experience in development using Java, Node.js,
- 2+ years’ experience with scripting languages (eg, Python, Scala, Shell Scripting, etc)
- 2+ years’ experience designing, developing and implementing in an agile environment
- Experience with cloud-based Big Data ecosystem tools (eg, Google BigQuery, Amazon RedShift, Spark, Apache Airflow, etc)
- Experience mapping, transforming and visualizing large data sets working with various data formats
- Data engineering experience with both structured and unstructured data
Preferred Qualifications:
- 5+ years’ experience and/or demonstrated proficiency in development using Java, Node.js
- 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