Software Engineer - Analytics & Data

Role Overview

Design and deploy a cloud-native analytics platform, develop and manage an API-driven data infrastructure, and construct end-to-end data ingestion pipelines.

What You Will Do

Design and deploy a cloud-native analytics platform, develop and manage an API-driven data infrastructure, construct end-to-end data ingestion pipelines, apply AI techniques for data classification and harmonization, and oversee data modeling, microservice orchestration, and platform monitoring and alerting.

Why It Might Be a Fit

At least 3 years of software engineering experience within a B2B SaaS environment, proven ability to manage substantial data volumes and intricate code structures, expertise in creating scalable Data Warehouse solutions for analytical reporting, strong analytical skills for handling unstructured datasets, and experience in designing data transformation, metadata management, and workload management processes.

Requirements

• At least 3 years of software engineering experience within a B2B SaaS environment
• Proven ability to manage substantial data volumes and intricate code structures
• Expertise in creating scalable Data Warehouse solutions for analytical reporting
• Strong analytical skills for handling unstructured datasets
• Experience in designing data transformation, metadata management, and workload management processes
• Working knowledge of message queuing, stream processing, and big data storage systems
• Proficiency in Python and Jupyter Notebooks
• Familiarity with SQL and NoSQL databases like MySQL, PostgreSQL, and Cassandra
• Experience with big data technologies such as Spark and Kafka

Benefits

• Welcoming and inclusive work environment
• Equal employment opportunities to all qualified candidates and employees