Power the Future with us!

SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 5000 employees, offices in 34 countries, and millions of products installed in over 133 countries.

Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems.

By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive.

we are looking for a Data Integration Engineer.

As a Data Integration Engineer., you will work with the team to create state-of-the-art data and analytics driven solutions, working across Solaredge platforms leveraging both On-prem, Platform, big data tools and technologies. You will be part of a data engineering team in charge both on AI and ML developing Interfaces/ data pipelines, typically involving large, complex data sets.

What you will be doing:

• Responsible for building data pipeline solutions with standard end-to-end design
• Understanding the data flow and the requirements around its necessity/velocity and criticality, and being able to implement data pipelines and data modeling.
• Responsible for managing data stream access through providers such as AWS storage layers and transformations in AWS Data warehouse and further transporting in respective databases, consumers, data marts etc.
• Demonstrate proficient knowledge of web frameworks such as Flask or Django, as well as data integration frameworks such as dbt.
• Experience with high-volume production environments including live stream and batch streams, and real-time vs batch analytics.
• Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)
  
  

Requirements:

• Bachelor’s degree in Data Science, Computer Science, or related degree
• A minimum of 4+ years of similar experience working on Database(s), Data warehouse, ETL, and AWS platforms is required
• Experience building data lake solutions using one or more of the following: AWS, EMR, S3, Hive & Spark
• Develops, tests, and maintains code using software development methodology and appropriate technologies for the system being used.
• Build, maintain, and scale data pipelines
• Establish data architecture processes and practices that can be scheduled, automated, replicated, and serve as standards for other teams to leverage
• Experience with scripting languages such as Shell, Python
• Experienced in Deployment process on-Premise and using, Dockers, Jenkins
• Experience with workflow scheduling tools such as Airflow
• Delivers results when working on shorter-term (weeks-months), outcome-focused service engagements
• Experience troubleshooting software applications that involve APIs, databases, and frontend
• Comfortable working with OS such as Linux and shell scripting
• Experienced in working in AWS-related computing, storage, and processing (S3, Glue, Lambda, Redshift, Dynamo DB, Athena, Sagemaker)
• Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
  
  

SolarEdge recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people.

SolarEdge is committed to seeking out and retaining the finest human talent to ensure top business growth and performance.