
Data Systems Architect
2 weeks ago
Role Summary
We are seeking an experienced Data Engineer to join our team. As a key member of the organization, you will be responsible for designing, developing, and maintaining large-scale data systems.
- Analyze business requirements and design robust data pipelines using Python, SQL, PySpark, and bash scripts.
- Collaborate with Cloud Data Warehousing platforms such as Redshift, Snowflake, Databricks SQL, or equivalent, and have experience in working with distributed frameworks like Spark.
- Use Databricks platform for data engineering with hands-on experience in using Delta Lake, Databricks Workflow, Job Clusters, Databricks CLI, and Databricks Workspace.
- Have a solid understanding of machine learning life cycle, data mining, and ETL techniques.
- Familiarity with commonly used machine learning libraries (like scikit-learn, xgboost) and proficiency in REST APIs.
- Develop and maintain tools and libraries used by multiple teams across the organization.
- Apply software engineering principles in design & development process.
Key Requirements
- Bachelor's or master's degree with 3+ years of experience in Computer Science, Data Science, Engineering, or a related field.
- Excellent communication skills and ability to work and collaborate with cross-functional teams across technology and business.
Key Responsibilities
- Design and develop data pipelines that meet business needs.
- Collaborate with data scientists to build ML models.
- Maintain and improve existing data systems.
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