Founding Data Engineer - Lakehouse & Big Data Platform
Greylock Partners
14 days+
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Job summary
A leading investment firm is seeking a Founding Data Engineer to design and operate a modern, open-source data lakehouse for handling large datasets. The candidate should have 5+ years of experience, be proficient in Python, and skilled in building data architectures. This role offers substantial growth opportunities while shaping the company's analytics infrastructure. Bonus points for cybersecurity experience and familiarity with relevant tools like Kafka, Spark, and PostgreSQL.
Qualifications
- 5+ years of relevant industry experience.
- Ability to design and operate modern data architectures.
- Experience in constructing robust, end-to-end data pipelines.
Responsibilities
- Design and operate a data lakehouse environment for large datasets.
- Construct robust, end-to-end pipelines from data intake to user access.
- Ensure platform performance, dependability, and accuracy at scale.
Skills
Building and managing very large data platforms
Streaming and batch data processing
Open-source technologies (Iceberg, PostgreSQL, Parquet)
Apache Kafka
Apache Spark
Apache Flink
Data transformation practices
Python proficiency
Technical documentation
Tools
Iceberg
PostgreSQL
Parquet
Neo4j
Job description
A leading investment firm is seeking a Founding Data Engineer to design and operate a modern, open-source data lakehouse for handling large datasets. The candidate should have 5+ years of experience, be proficient in Python, and skilled in building data architectures. This role offers substantial growth opportunities while shaping the company's analytics infrastructure. Bonus points for cybersecurity experience and familiarity with relevant tools like Kafka, Spark, and PostgreSQL.
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