Data Engineer
Atem CorpVancouver, BC, CanadaData Engineer Vancouver, Canada Day1 onsite Show more
Hardware engineer • burnaby bc
Data Engineer Vancouver, Canada Day1 onsite Show more
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Sales and business development of mineral processing equipment and systems into the mining, aggregate and wastewater industries.Collaborate with the Sales Team to meet goals and objectives, improve...Show more
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Complete the quotation for new projects and realize the introduction of new products;.Complete the process evaluation of the project;.Responsible for the process development and confirmation of spe...Show more
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Canada's fastest-growing full-service consulting firms, driven by our commitment to excellence, innovation, and community.With a multidisciplinary team and offices across British Columbia, Alberta,...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