
Cloud-Based Data Architect
1 week ago
Job Description:
- Collaborate with data scientists to develop sophisticated algorithms that uncover unique insights from our data.
- Employ agile software development methodologies to make iterative enhancements to our back-end systems.
- Model front-end and back-end data sources to provide a comprehensive understanding of user flows throughout the system, enabling powerful data analysis.
- Design and implement data pipelines that cleanse, transform, and aggregate data from diverse sources.
- Develop predictive models that answer critical business questions.
Required Skills and Qualifications:
Technical Requirements- 3+ years of experience in Python, SQL, and data visualization/exploration tools.
- Familiarity with Big Data & Cloud platforms.
- Proficiency in Google Cloud's BigQuery, Airflow, and CI/CD tools.
- Knowledge of industry-standard visualization and analytics tools (e.g., Tableau, R).
- Core Java, Linux, SQL, and scripting language expertise.
- Experience with Python, Spark, and Hive.
- Effective communication skills for explaining technical concepts to non-technical stakeholders.
- Able to work in a dynamic, research-oriented team with concurrent projects.
- Bachelor's degree in computer science, information technology, engineering, or related field.
- ETL process design and maintenance experience.
- Professional certification.
- Python
- SQL
- Tableau
- R
- BigQuery
- Spark
- Hive
The ideal candidate will possess a strong foundation in data engineering, excellent problem-solving skills, and the ability to communicate complex ideas effectively.
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