Position Details
About this role
This role involves designing and building high-scale data pipelines, data lakes, and warehouses, utilizing cloud and distributed computing technologies to support analytics and decision-making.
Key Responsibilities
- Design and build data pipelines
- Develop data lakes and warehouses
- Collaborate with product teams on data models
- Implement data quality and governance
- Mentor engineers
Technical Overview
The technical environment includes Java, Python, SQL, Apache Spark, Flink, Google Cloud Platform, Hadoop, and NoSQL databases, focusing on scalable data processing and governance.
Ideal Candidate
The ideal candidate is a senior data engineer with extensive experience in building data warehouses and lakes, proficient in Java, Python, and SQL, with strong leadership and mentoring skills, and familiarity with cloud platforms like Google Cloud Platform.
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 data lakes or data warehouses, No experience with distributed computing frameworks, No proficiency in SQL or programming languages, No leadership or mentoring experience
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