Data Engineer

Prisma Photonics, a fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors.

Our Hyper-Scan Fiber-Sensing™ technology, combined with advanced machine learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions.

Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), Prisma Photonics is led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors.

We are seeking a talented, self-driven and passionate Data Engineer to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.

What You’ll Do

• Design data collection, storage, search and access APIs.
• Develop the data storage and meta data databases for our AI and Algorithms teams to access train and test.
• Design and implement data pipelines and ETLs both for on-prem and cloud environments.
• Make data easily and fast accessible and searchable.
• Work closely with Software, AI and Algorithm teams on system integration, benchmarking and data access.

What You Bring

• Bachelor’s degree in a quantitative field such as math, computer science, engineering, etc.
• Know how and experience in building databases and organizing it.
• 2-3 years of experience with SQL and NoSql DBs (MySql, Elastic, MongoDB, Postgres).
• Strong programming skills - mostly python.
• Experience with design and implementation of data pipelines.
• Strong collaborator with teams and peers
• Innovative with a growth mindset

Advantages

• Experience with streaming technologies, unstructured data and different data types (other than text and tables)
• Additional software programming experience
• Experience with any of the following: Airflow, Jenkins, Git, Kubernetes, distributed computing.
• Cloud provisioning and administration experience.
• Working on cloud environment (preferably AWS).
• Knowledge of data analysis tools s.a. Grafana or DataDog.