Data Engineer 824383

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משרה קבועה
משרה מלאה

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Company centralizes and simplifies all the metrics used by Shopify sellers, enabling them to save more time and make more money. We help e-commerce businesses accurately track and forecast all kinds of metrics, including changes in profits and operational metrics. Our goal is to infuse AI into e-commerce, empowering shops to have an accurate picture of their business and make optimal choices that boost their bottom line.We are looking for talented Data Engineers to join our growing team. This is a hybrid role, with 3 days a week in-office required (Jerusalem or Bnei Brak offices).Our Data Engineers are responsible for building and operating the data systems to deliver value to the end users and to internal users, by expanding and optimizing the data pipelines and data services, ensuring data integrity and driving a data-driven culture. In addition, you will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.Our ideal candidate is experienced with data pipeline builders and data wranglers, and someone who enjoys optimizing data systems and building them from the ground up. Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products and comfortable working in a fast-paced and often pivoting environment.Responsibilities

Build and maintain our data repositories with timely and quality data

Build and maintain data pipelines from internal databases and SaaS applications

Create and maintain architecture and systems documentation

Write maintainable, performant code

Implement the DevOps, DataOps and FinOps philosophy in everything you do

Collaborate with Data Analysts and Data Scientists to drive efficiencies for their work

Collaborate with other functions to ensure data needs are addressed

Constantly search for automation opportunities

Constantly improve product quality, security, and performance

Desire to continually keep up with advancements in data engineering practices

Qualifications

At least 3 years of professional experience building and maintaining production data systems in cloud environments like GCP

Professional experience using JavaScript and/or other modern programming language

Demonstrably deep understanding of SQL and analytical data warehouses

Experience with NOSQL databases, eg: ElasticSearch, Mongo, Firestore, BigTable

Hands-on experience with data pipeline tools (eg: Dataflow, Airflow, dbt)

Strong data modeling skills

Experience with MLOps - advantage

Familiarity with agile software development methodologies

Ability to work 3 days a week in-office (Jerusalem or Bnei Brak)

Please send CV to

Janglo

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