Big Data/Machine Learning Software Engineer

Description

The Data Analytics team at Nova is looking for a Big Data/Machine Learning Software Engineer to work with Data Scientists and other Software Engineers to gather requirements and implement solutions. For you, it is exciting to see your code interacting with algorithms and data to produce results via complex interactions in Big Data systems. In this role, you will work with Data Scientists to adapt new and existing Machine Learning algorithms to Big Data microservices and build functionality to access those via web-based user interfaces.

Nova Ltd. is a leading innovator and key provider of metrology solutions for advanced process control used in semiconductor manufacturing. Our products are used in-line by leading chip foundries as well as original equipment manufacturers. Nova's technology serves critical sectors of patterning, thin film deposition, CMP and diffusion in leading logic and memory fabs worldwide. market.

About us:

• Nova provides insights into process control in the world's most technologically advanced industry. We employ physics, mathematics, algorithms, software and hardware expertise to redefine the limits of what is possible in semiconductor manufacturing.

• We invite you to join our dreamers and winners and brilliant high- aimers who see impossible as the starting point to exciting challenges, and work together in multidisciplinary global teams to find answers.

• We dive deep to extract unique insights and provide our customers and partners with crucial decision-making data. Each and every one of us helps redefine what people can achieve through technology.

Why Nova:

• Certified Best Places to Work from "Great Places to Work" in 2022 & 2023 (Rated by our employees) Top 30 in our industry category

• Doubled in revenue from 2020 to 2022

• Customer focus: We value building strong relationships. You'll be the face of Nova, working closely with customers to understand their needs.

• Continuous learning: We're passionate about growth. You'll gain in-depth knowledge of cutting-edge metrology tools, participate in industry trainings, and receive ongoing mentorship from experienced engineers.

Role Responsibilities

What will you do as a Big Data Machine Learning Software Engineer?

• Implement Machine Learning solutions that live on Big Data systems, with input and guidance from Data Scientists and the algorithms they develop to effect Machine Learning

• Work as part of a Scrum team to analyze requirements, scope, estimate, implement, and test changes to meet these requirements in a Big Data system

• Debug existing source code, analyze logs and fix bugs as needed, using Python as the code for both back end and user interface

• Work independently and collaboratively as needed

• Take ownership of assigned tasks and finish in a timely manner

• Continuously learn and improve skills

• Apply significant attention to detail to ensure all tasks are carried out to the highest standard

• Show evidence as a fast learner, as many of the concepts we follow do not exist elsewhere

Requirements

• If you are under-skilled in some of the other requirements below, evidence of your ability to learn quickly will be seriously considered. Example of technology needed to learn quickly is customization/extension of ElasticSearch-Logstash-Kibana (ELK) instances

• 5+ years of software development experience in Agile environment

• 5+ years of coding and development experience using Python 2/3, preferably using OO approach

• 1-2 years of Big Data deployment, monitoring and troubleshooting of microservices, and interactions with the following Big Data concepts:

• Exposure and experience using/creating Extract/Transform/Load workflows

• Exposure and use of Kafka or other message queues

• Exposure and use of Hive/Hadoop/Impala and Big Data data storage including NOSQL solutions

• Big Data configuration and monitoring using a number of technologies

• Experience working in a multi-threaded environment

• Experience working with SQL databases and/or Big Data datastores (HDFS, etc.)

• Exposure to web-based application development - optimally Dash (with Python), React or NodeJS/Angular to facilitate workflows and graphic visualization

• Working knowledge of GIT, JIRA or similar systems for maintaining and tracking code changes

• Experience with Scrum/Agile

Extra Spice:

• Strong communication and problem-solving skills - possess the ability to translate business requirements into application code

• Ability to take ownership of the complete software development cycle from requirements gathering to design to implementation

• Team player who will work in a collaborative environment with users and the engineering team

• Passionate about well-designed software that is modifiable, efficient, reliable and meets coding standards

• Experience customizing/extending ElasticSearch-Logstash-Kibana (ELK) instances

Pay Range: $100,000- $150,000 Annually