
Data Architect and Engineer
1 week ago
Data Architect and Engineer
- We are seeking a highly skilled data architect and engineer to develop and maintain robust data pipelines.
- The ideal candidate will have 3+ years of experience in working with Python, SQL, PySpark, and bash scripts.
- You will be responsible for designing, developing, and maintaining data pipelines for structured and unstructured data.
- Experience working with cloud data warehousing platforms and distributed frameworks like Spark is highly desirable.
- Familiarity with commonly used machine learning libraries, REST APIs, and containerization frameworks is also required.
Key Responsibilities:
- Design and implement efficient data pipelines for structured and unstructured data.
- Develop and maintain scalable data architectures using cloud-based platforms.
- Collaborate with cross-functional teams to ensure seamless data integration and analytics.
Skill Requirements:
- Proficiency in Python, SQL, PySpark, and bash scripting languages.
- Experience working with cloud data warehousing platforms such as Redshift, Snowflake, or Databricks SQL.
- Familiarity with commonly used machine learning libraries such as scikit-learn and xgboost.
- Knowledge of containerization frameworks like Docker and Kubernetes.
What We Offer:
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
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