Big Data Jobs in Regina
1 - 15 of 18
Search Results - Big Data Jobs in Regina
Farm Credit Canada-Regina
Portfolio Management
Expertise in big-data analytics for financial industry required
Provide informal leadership to an experienced team searching for problems to solve and opportunities to capitalize on within huge and diverse datasets.
What you’ll do...
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Government Entity-Regina
database issues to ensure compliance with policies and regulations
• Python for ETL: Advanced Python skills applied to developing ETL processes following software development best practices (including automated testing and code reviews).
• Big Data Tools...
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Government Entity-Regina
database issues to ensure compliance with policies and regulations
• Python for ETL: Advanced Python skills applied to developing ETL processes following software development best practices (including automated testing and code reviews).
• Big Data Tools...
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HCLTech-Regina
on the Databricks platform.
Proficiency in programming languages such as Python, Scala, or SQL.
Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark.
Experience with cloud platforms such as AWS...
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beBeeDataEngineer-Regina
data design, data architecture, data management, and data modeling
• Expert proficiency in SQL Server, including stored procedures and SSIS package-level deployment
• Proficient in leveraging big data technologies, including PySpark and SparkSQL...
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Capgemini Engineering-Regina
environment. Your role involves solving complex technical challenges and enhancing a Big Data processing platform that supports software used by hundreds of millions of users.
You Role:
• Collaborate with the Team Lead to gather tasks and prepare functional...
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beBeeDataEngineer-Regina
ETL processes following software development best practices (including automated testing and code reviews).
• Proficient in leveraging big data technologies, including PySpark and SparkSQL for large-scale data processing.
• Hands-on experience...
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iVedha Inc.-Regina
to-Have: Experience with Apache airflow, snowflake , and big data pipelines.
Familiarity with SRE maturity models and service level objectives (SLOs, SLIs, SLAs).
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InSync Systems-Regina
practices (including automated testing and code reviews).
• Proficient in leveraging big data technologies, including PySpark and SparkSQL for large-scale data processing.
• Hands-on experience with cloud-based platforms such as Databricks, Azure Data...
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GeologicAI-Canada
We are looking for a Senior Full-Stack Developer to play a key role in developing domain knowledge injection tools for the R&D department. Our applications involve working with big data & employing machine algorithms to create data derivative...
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Modaxo-Regina
cloud infrastructure (AWS, Azure, GCP).
• Big Data & Data Engineering: Understanding of data pipelines, ETL, Apache Spark, Kafka, AWS BedRock.
• Software Engineering: Experience working with AI engineers and full-stack developers.
Business & Financial...
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GeologicAI-Regina
We are looking for a Senior Full-Stack Developer to play a key role in developing domain knowledge injection tools for the R&D department. Our applications involve working with big data & employing machine algorithms to create data derivative...
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Yochana-Waterloo, 1974 km from Regina
Hierarchical, Relational, NoSQL), Big data ecosystems (Hadoop, Spark, Kafka, etc.), and cloud platforms (AWS, Azure, GCP). The candidate should have hands-on working experience using Oracle, IBM tool stacks, and middleware/container technologies in designing...
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Tactable-Regina
or media sectors.
Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
Experience with streaming technologies such as Apache Kafka or Spark Streaming.
Familiarity with big data technologies, including Spark, Azure Data...
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Raas Infotek-Hamilton, 2034 km from Regina
expertise with expertise on Azure AI or BA Insights or Elastic Search
Having good expertise on various database technologies (Network, Hierarchical, Relational, NoSQL), Big data ecosystems (Hadoop, Spark, Kafka, etc.), and cloud platforms (AWS, Azure, GCP...
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