DevJobs

Data Engineer

Overview
Skills
  • Python Python
  • SQL SQL
  • Spark Spark
  • NoSQL NoSQL
  • Tableau Tableau
  • AWS AWS
  • Azure Azure
  • GCP GCP
  • Docker Docker
  • Kubernetes Kubernetes
  • Airflow Airflow
  • Bigquery
  • Looker
  • Superset
At Nexite, you will have the chance to bring your data engineering skills into the engineering group and develop cutting edge scalable data solutions. We are looking for an open minded, technical savvy Data Engineer to join our engineering group. You will collaborate with our team to lead technology for the retail/IOT world.

Responsibilities:

Design, build and maintain data driven and self service solutions

Design data application by understanding the needs, modeling the data, choosing the right tools and defining the interfaces and usage by the application layer

Own the data architecture: ELT, Pipelines, Databases, APIs and more.

Continuously maintain healthy and up to date data tech stack , guaranteeing scalability and robustness

Understand the data needs in the organization and provide solutions to other data stakeholders, such as: Data analysts, engineers and product managers.

Produce "high quality" data engineering development cycle, that includes best practices such as: Code reviews, tests(unit, component), infra as code, ci/cd and more

Provide expert-level technical leadership and mentoring to the team

Requirements:

  • Experience with modern data processing tools, SQL and NoSQL databases and services such as AirFlow, Bigquery, Spark etc
  • Experience with data visualization tools such as: Looker, Superset, Tableau ..
  • Experience working in a containerized environment using Docker and Kubernetes.
  • Experience working in a cloud environment (AWS/GCP/AZURE) using various cloud services.
  • Experience developing in Python
Nexite