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