Data Engineer
Atem CorpVancouver, BC, CanadaData Engineer Vancouver, Canada Day1 onsite Show more
Data modeler • burnaby bc
Data Engineer Vancouver, Canada Day1 onsite Show more
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Overview Data Entry Specialist 3 months contract, could transition to permanent employment Vancouver West Side Location Monday - Friday 9-5 Pay: 26.We are seeking a dedicated Data Entry Specialist ...Show more
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RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ...Show more
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RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ...Show more
Have you ever wondered how Amazon shipped your order so fast? Wondered where it came from or how much it cost us? To help describe some of our challenges, we created a short video about Supply Chai...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