Educational requirements: Bachelor
English requirements: Competent English
Requirements for skilled employment experience for years: 3-5 years
Required residence status: Temporary visa, Permanent resident, Citizen
Accept remote work: unacceptable
BASIC QUALIFICATIONS Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 5 years of relevant experience in data engineering roles Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding Proficient in at least one or more programming languages: Java, Python, Ruby, Scala Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue Experience developing data visualisation and reporting with tools such as Amazon QuickSight, metabase, Tableau, or similar software Up to speed on recent advances in distributed systems (e.g. MapReduce, MPP architectures, and NoSQL databases). Experience building metrics deck and dashboards for KPIs including the underlying data models. Understand how to design, implement, and maintain a platform providing secured access to large datasets
PREFERRED QUALIFICATIONS Master’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 5 years of work experience with ETL, Data Modelling, and Data Architecture. Experience or familiarity with newer analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, ElasticSearch. Experience with Data streaming service e.g Kinesis Kafka Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis
