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Job Summary:
Paces is a data insight platform for green infrastructure developers, operators, and investors to build more projects. They are looking for a junior data engineer passionate about building robust data pipelines as they scale up, focusing on designing and maintaining ETL processes while ensuring data quality and collaborating with the team to impact the product roadmap.
Responsibilities:
• Design, implement, and maintain scalable ETL data pipelines from hundreds of data sources
• Optimize our storage and retrieval systems for performance and reliability
• Ensure data quality, consistency, and security across the platform
• Collaborate closely with our CTO, Data Infra Lead, Product Lead, and team to directly impact product roadmap
Qualifications:
Required:
• Solid understanding of data engineering concepts, with a strong grasp of data structures, algorithms, and system design
• Strong coding skills with demonstrated proficiency in relevant programming languages, such as Python, Rust, Scala
• Advanced SQL expertise, including experience with complex queries, query optimization, and working with various database systems
• Hands-on experience with big data tools (e.g. Spark) and data pipeline orchestration tools (e.g. Dagster, Airflow, Prefect)
• Proven experience in building robust, scalable and performant data pipelines on the cloud (AWS / GCP / Azure)
Preferred:
• Previous experience at a high-growth, fast-paced startup
• Previous experience working with (geo)spatial datasets and libraries (e.g. GEOS, GDAL)
• Hands-on experience with novel data tools and frameworks such Apache Arrow, DuckDB, DeltaLake, Apache Iceberg
Company:
Paces is a data insight platform for green infrastructure developers, operators, and investors to build more projects. Founded in 2022, the company is headquartered in Brooklyn, New York, USA, with a team of 11-50 employees. The company is currently Early Stage. Paces has a track record of offering H1B sponsorships.
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