Position Details
About this role
This role involves developing and maintaining data pipelines and solutions to support analytics, AI, and ML initiatives, with a focus on data quality, security, and cloud integration.
Key Responsibilities
- Build data pipelines
- Support AI/ML projects
- Ensure data quality and security
- Collaborate with cross-functional teams
- Maintain data environments
Technical Overview
The technical environment includes Snowflake, Oracle, Python, SQL, ETL, data governance, and visualization tools like Tableau and Power BI, with AWS cloud experience.
Ideal Candidate
The ideal candidate is a senior data engineer with at least 5 years of experience, proficient in Snowflake, SQL, Oracle, and Python, with strong data analysis skills and cloud experience, preferably with AWS, and familiar with BI tools.
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 5 years of data engineering experience, Lack of proficiency in Snowflake or SQL, No experience with Oracle or Python ETL processes, No cloud technology experience (AWS)
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