
Data Architect Position
4 days ago
Key Responsibilities:
- Design and implement data pipelines to extract, transform, and load data into cloud-based systems.
- Collaborate with cross-functional teams to develop and maintain large-scale data architectures.
- Develop and deploy ETL/ELT processes using Databricks and Azure Data Factory.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field.
- 6+ years of experience in data engineering with expertise in SQL, Python, R, or Scala programming languages.
- Strong understanding of data architecture, data modeling, and ETL processes.
- Excellent problem-solving and analytical skills.
Preferred Qualifications:
- Experience with DevOps tools and practices like Jenkins and Azure DevOps.
- Knowledge of Atlassian tools like Bitbucket, JIRA, and Confluence.
- Familiarity with SDLC and Agile ways of working.
This role involves occasional travel based on project locations.
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