Data Engineer
Atem CorpVancouver, BC, CanadaData Engineer Vancouver, Canada Day1 onsite Show more
Engineer • burnaby bc
Data Engineer Vancouver, Canada Day1 onsite Show more
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MatchBox Consulting Group is currently seeking a.Line and Interconnections Project Engineering team.The successful candidate will work closely with multidisciplinary teams and external engineering ...Show more
AECOM Burnaby is seeking a motivated and skilled Intermediate Structural Engineer to join our Water Infrastructure team.In this role, you will work alongside senior engineers, EITs, technologists, ...Show more
At Vitacore, we integrate cutting-edge research and technology with a profound commitment to sustainability and innovation.Established in 2020, Vitacore is driven by our mission to develop transfor...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