Position: Middle/Senior DataOps Engineer
Company: Edvantis Software
Experience required: 3y
Category: Support
English level: upper
Published: 2021-11-01T00:00:00+02:00

This is an internal infrastructure team that supports product-based teams. We are building a new infrastructure team that is doing a lot of learning as we go. Work will be very iterative as we design and build out the platform.

What you will work on - This is an internal infrastructure team that supports product based teams. We are building a new infrastructure team that is doing a lot of learning as we go. Work will be very iterative as we design and build out platform.

What's infra environment? - All our workflows are based on git, Docker, and PyCharm and mostly happen within AWS environments.

Tech stack: Python, Terraform and Spark (mostly PySpark).

**Responsibilities:**
This is a new team that will be part of Core Tech Services and provide company-wide infrastructure for Databricks/Spark, Prefect (Orchestration) and data pipeline monitoring. This will be a DataOps team to support data engineering teams. We will be building out the infrastructure side to support teams and supporting them in moving workloads to Spark & Prefect.

We have decided on three specific types of Engineer and would be interested in Python Developer that fits into one of the options below:

Option 1: (Python General Purpose Engineer)
Focus on developing Github Actions and Prefect tasks to support Databricks jobs. Terraform/AWS experience preferred

Option 2: (Python Data Engineer)
Background with PySpark, Pandas, and orchestration (Airflow or Prefect). Will also develop and support Github Actions written in python and may develop Flash/FastAPI based backend services. Terraform/AWS experience preferred

Option 3: (Python Full Stack Engineer)
Full Stack Engineer with both frontend (HTML/JS/CSS) and backend services (Python Flask/FastAPI). Terraform/AWS experience preferred

**Requirements:**
3-5+ years of Python development experience
Terraform/AWS experience preferred
Background with PySpark, Pandas, and orchestration (Airflow or Prefect)
Development and support Github Actions written in Python and Prefect tasks to support Databricks jobs
Experience with both frontend (HTML/JS/CSS) and backend services (Python Flask/Flash/FastAPI)
English level – Upper-Intermediate

**We offer:**
Career and professional growth
Competitive salary
Friendly and highly professional teams
Big and comfortable office, own parking area, restaurants nearby
Medical insurance coverage for employees (Сovid-19 included), plus an option for family insurance coverage at a corporate rate
Paid 12 sick leaves and all holidays
Paid 18 working vacation days
English/German language courses
Comfortable office facilities (kitchens, coffee/tea points, etc.)