Data Engineer
Atem CorpVancouver, BC, CanadaData Engineer Vancouver, Canada Day1 onsite Show more
System engineer • vancouver bc
Data Engineer Vancouver, Canada Day1 onsite Show more
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Strong communities don’t just happen—they’re built.They’re creatively imagined, collaboratively planned, and readied to face tomorrow with optimism.We’re driving the future of Community Development...Show more
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Project Engineer to oversee electrical installations and maintenance of equipment within YVR.Project Management & Execution.Manage execution of customer projects according to company processes and ...Show more
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Join a company that is passionately committed to the pursuit of a better world through positive change.With more than 70 years of business and technical expertise in.With practical solutions that a...Show more
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For the sixth consecutive year, Keystone Environmental is awarded as one of Canada’s Top Small and Medium Employers for 2023 | read more ».Show more
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CI microservice systems and cloud-based infrastructure.The selected candidate will contribute to platform stability, feature engineering, and AI-driven components within a structured on-site engine...Show more
NinjaCat is the leading Enterprise Data & AI Platform for Marketing, transforming how brands, agencies, and media companies harness data and AI to drive marketing performance.Our platform unifies f...Show more
Huawei Canada has an immediate 8 to 12 month internship opening for a Researcher.The Advanced Computing and Storage Lab, currently a part of the Vancouver Research Centre, aims to explore adaptive ...Show more
Vancouver, Canada
Day1 onsite
Job Requirements
Strong experience in programming languages and latest technologies - Spark, Scala.
AWS cloud knowledge is must, candidate should have hands on experience on Kinesis, SQS, SNS, S3, Athena, EMR, Elastic Search, Quicksight, Redshift, Cloudwatch etc.
Using data engineering tools, languages, frameworks to mine, cleanse and explore data.
Fluent in NoSQL & relational based systems like MongoDB
Fluent in complex, distributed and massively parallel systems.
Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
Proficient in deploying artifacts using CI/CD
Designing data systems/solutions to manage complex data.
Strong understanding of database technologies and management systems.
Strong understanding of cloud-based systems/services.
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.
Work Experience
Strong experience in programming languages and latest technologies - Spark, Scala.
AWS cloud knowledge is must, candidate should have hands on experience on Kinesis, SQS, SNS, S3, Athena, EMR, Elastic Search, Quicksight, Redshift, Cloudwatch etc.
Using data engineering tools, languages, frameworks to mine, cleanse and explore data.
Fluent in NoSQL & relational based systems like MongoDB
Fluent in complex, distributed and massively parallel systems.
Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
Proficient in deploying artifacts using CI/CD
Designing data systems/solutions to manage complex data.
Strong understanding of database technologies and management systems.
Strong understanding of cloud-based systems/services.
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate product architectures, design proposals and negotiate options at management levels