Position Details
About this role
This role involves developing and maintaining large-scale data infrastructure, building data pipelines, and ensuring data quality to support business analytics and AI initiatives.
Key Responsibilities
- Evolve data platform
- Develop data pipelines
- Collaborate on infrastructure projects
- Monitor data quality
- Support analytics and AI projects
Technical Overview
The role requires expertise in Python, SQL, data pipeline tools like Airflow, Snowflake, Kinesis, and cloud platforms such as AWS, with a focus on data infrastructure and operational excellence.
Ideal Candidate
The ideal candidate is a mid-level data engineer with over 3 years of experience in building and maintaining large-scale data pipelines, proficient in Python and SQL, with cloud experience especially in AWS.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years experience in data engineering, Lack of experience with Python or SQL, No cloud provider experience
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