For our client we’re looking for a Data Engineer. Our 1st priority is to service our customers’ day-to-day requirements and deliver first-class services.
Project description:
We are working on improving and optimizing customer’s data pipelines.
We are looking for data reliability engineers. The team focuses on the development of data product creation frameworks.
Requirements:
🔑 Databricks
🔑 Azure DevOps
🔑 Terraform
🔑 Spark
🔑 Python
🔑 Good English (min. B2)
Responsibilities:
✔️ Managing, optimizing and automating the cloud-based infra, data pipelines, applications and services;
✔️ Fostering a culture of eliminating toil and implementing optimal observability and monitoring;
✔️ Detect & Repair: Observability, Incident Response and Postmortems;
✔️ Data quality and reporting reliability-related metrics (e.g., Service Level Indicators and Service Level Objectives): ensuring if client’s data and production systems are highly reliable, available, efficient, secure, and scalable;
✔️ Disaster recovery and redundancy: Ensuring our assets are safeguarded against unforeseen events;
✔️ Optimization: Identify areas for improvement (e.g. cost optimization, deployment processes) and providing technical hands-on assistance;
✔️ Automation: Repetitive manual tasks should be automated where possible;
✔️ Documentation: All parts of the data landscape, including architecture, processes and changes are well-documented to ensure knowledge is not lost;
✔️ Collaboration: Collaborate with a variety of people and ART's to ensure everyone is aligned on data-related topics;
Our offer:
📌 Possibility to work in an extremely expansive international IT company and multicultural team,
📌 Very competitive salary, workplace benefits, international benefits 💰,
📌 Provide global career opportunities, we have 13 offices in 4 countries 🌍,
📌 Conference trips ✈️,
📌 Team retreats and internal initiatives,
📌 Unrestricted access to UDEMY (e-learning platform) 📖.
Start your application and join System Verification, we’re waiting for you!