Position Details
About this role
This role involves designing and maintaining scalable data pipelines, managing cloud-based data infrastructure, and enabling advanced analytics and machine learning workflows.
Key Responsibilities
- Design data pipelines
- Manage cloud infrastructure
- Build data models
- Perform feature engineering
- Develop ML workflows
Technical Overview
The environment includes Databricks, AWS, GCP, Azure, with a focus on data engineering, cloud infrastructure, and predictive analytics.
Ideal Candidate
The ideal candidate is a mid-level data engineer with hands-on experience designing scalable data pipelines, proficient in Python, SQL, and cloud platforms like AWS, GCP, or Azure, and passionate about data science and analytics.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Databricks or PySpark, No proficiency in Python or SQL, No cloud infrastructure experience, No experience with ETL/ELT pipelines
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