Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
As a Python Engineer you will:
• Create a top-notch SaaS and On-Prem application for Data Engineers and Data Managers that monitors data reliability issues in their data pipelines.
• Build Python SDK (dbnd), integrating it with various data monitoring tools.
• Thoroughly learn and integrate with the most cutting-edge technologies in the data world, such as Snowflake, Fivetran, Airflow, DBT, Spark, Control-M and more.
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• Develop our cutting-edge automatic Alerting & Notification mechanism that detects data issues in real-time and collaborate with different stakeholders.
• Drive impact directly on business by working and collaborating with your team, managers, and peers in a stream-aligned team that is driven by clear business KPIs.
• Maintain an awesome engineering culture that emphasizes achieving business goals in a cutting-edge technologies
Required Technical and Professional Expertise
• Experience in Python
• Experience in backend engineering, working on SaaS production systems
• Business orientation - understanding the value of the features you are working on and take the right technological decisions to achieve the value
• Experience with designing and implementing a microservices architecture system including different communication patterns such as REST API and event-driven messages
Preferred Technical and Professional Expertise
• Experience with massive SQL DBs and dealing with hard performance issues
• Experience in working in a high industry standard CI\CD, and development cycle processes