Data Engineer

Description:

Prisma Photonics, a fast growing stat 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.
Requirements:

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.