Snowflake Developer at Rapideagle
Mississauga, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

25.85

Posted On

14 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Microsoft Sql Server, Database Design, Software Development, Data Modeling, Programming Languages, Oracle, Bash, Hadoop, Java, Data Integration, Spark

Industry

Information Technology/IT

Description

OVERVIEW

We are seeking a skilled and motivated Developer to join our dynamic team. The ideal candidate will have a strong background in software development and data management, with the ability to work collaboratively in an Agile environment. This role involves designing, developing, and maintaining applications and systems that leverage big data technologies and cloud services.

SKILLS

  • Proficiency in Java and Python programming languages.
  • Experience with NoSQL databases (e.g., MongoDB) and relational databases (e.g., Microsoft SQL Server, Oracle).
  • Familiarity with big data technologies such as Hadoop, Spark, and data warehousing concepts.
  • Knowledge of ETL processes and tools like Informatica for data integration.
  • Understanding of Azure services including Azure Data Lake for cloud-based solutions.
  • Strong skills in database design and data modeling techniques.
  • Experience with Bash (Unix shell) scripting for automation tasks.
  • Ability to analyze data using analytics tools to derive actionable insights.
  • Familiarity with linked data concepts is a plus. Join our team to contribute your expertise in software development while working on innovative projects that drive business success.
    Job Type: Fixed term contract
    Contract length: 12 months
    Pay: $25.85-$85.57 per hour
    Expected hours: 40 per week
    Work Location: In perso

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Responsibilities
  • Design, develop, and implement scalable applications using Java and Python.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Utilize NoSQL databases, Microsoft SQL Server, Oracle, and Hadoop for data storage and management.
  • Develop ETL processes to ensure efficient data integration from various sources.
  • Implement data modeling techniques to optimize database performance.
  • Work with cloud platforms such as AWS and Azure to deploy applications and manage resources.
  • Analyze large datasets using Spark and Azure Data Lake for insights and reporting.
  • Participate in Agile ceremonies including daily stand-ups, sprint planning, and retrospectives.
  • Maintain documentation of database designs, application architecture, and development processes.
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