Qualifications:
Experience: 2-5 years of hands-on experience in software engineering, cloud engineering, or a related technical role.-
Cloud Platform Proficiency: Direct, practical experience with Google Cloud Platform (GCP) services.
Technical Proficiency:
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Strong proficiency in the primary programming language: Python.
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Practical experience with key GCP services: Cloud SQL, BigQuery, Dataflow, App Engine/Compute Engine, Pub/Sub.
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Foundational experience or strong desire to specialize in Machine Learning (ML) and Large Language Models (LLMs) within GCP.
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Strong command of SQL for data manipulation and analysis.
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Experience in pipeline-oriented ETL/ELT ingestion and build processes.
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Familiarity with UML for documenting system and process design.
Methodology: Understanding of SDLC methodologies (Agile, SCRUM, etc.).
Industry Knowledge: Familiarity with Digital Analytics and Ad-Tech solutions, including
key systems/APIs (Google Campaign Manager, Google Ads, Facebook Marketing).
Certifications: Google Cloud Professional certification, particularly the Professional Machine
Learning Engineer (MLE), is a strong asset.
Soft Skills: Strong collaboration skills, an innate curiosity, and a commitment to
continuous learning in digital marketing, research, and analytics.
Working Conditions: This position operates under a hybrid work model. Employees are currently required to work from the office once per week to foster team collaboration and culture. While the role primarily allows for work-from-home arrangements, the required in-office frequency is subject to change based on evolving company and departmental needs.
