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Tier-1 SaaS brand, mid-level generalist role, and metro location increase applicant competition.
Platform and ETL skills are transferable, but planning-tool experience increases domain specificity.
Explicit 2–5 years plus mandatory Python, SQL, ETL and platform experience raises filtering rigor.
Support and maintain o9’s cloud-based platform post-implementation, ensuring system reliability, smooth batch automation, and adherence to SLAs.
Diagnose and resolve technical issues by collaborating with DevOps, Support, Product, and Customer teams to deliver stable and scalable solutions.
Manage and analyze customer data using SQL, ETL tools, and big data technologies; automate processes and contribute to CI/CD, performance tuning, and integration testing.
2–5 years of experience in technical consulting, support, or related roles.
Proficiency in Python and SQL; experience with ETL tools like SSIS, and scripting languages (Python, Bash, PowerShell).
Bachelor’s degree in Computer Science, Engineering, Supply Chain, Operations Research, Statistics, or related quantitative field.
Experience or exposure to cloud platforms (AWS, Azure, Google Cloud) and big data tools (Hadoop, PySpark, Hive) preferred but not mandatory.
Experienced in managing post-implementation technical support and platform operations with ownership and accountability for batch processing and troubleshooting.
Comfortable working across functions and teams (DevOps, Product, Support) in a collaborative, technically complex environment.
Skilled in data handling, automation scripting, and understanding platform data models with the focus on enhancing system reliability and performance.