Senior Technical Consultant - Customer Success

What youll be doing:

• Hands-on experience with SSIS, ETL, Informatica (ETL), or similar 1 year of experience managing multiple client batch jobs
• Timely response and resolution of batch automation disruptions, in order to meet customer SLA s with accurate and on-time results
• Validating, synthesizing, transforming customer data for planning, visibility, collaboration, and analytics using tools like SQL/SSIS/Excel, Apache NiFi, Hadoop, PySpark/Hive SQLs
• Review and analyze the data provided by the customer along with its technical/functional intent and interdependencies
• Ensure smooth operations of o9s cloud-based solution
• Support continuous integration and continuous delivery processes
• Collect, monitor and analyze systems performance data for improved performance
• Create automated tasks with shell scripts (bash, PowerShell, python)
• Understand the o9 platform s data model (table structures, linkages, optimal designs) post-go-live for maintaining, debugging, and enhancing various planning use cases
• Participate in the technical design, data requirements gathering, making recommendations in case of inaccurate or missing data
• Fine-tune performance at various levels; automate manual processes; establish checks and balances for sustained value delivery
• Create and execute integration test-cases Work on bugs/issues and track the progress of resolving issues using support tools

What you should possess:

• Ability to take complete ownership of work and deliver with minimal management oversight
• Proficient in SQL and leveraging ETL tools like SSIS for data transformations
• Proficiency in Python, Bash, and/or Powershell Scripting
• Experience with Amazon Web Services (AWS), AZURE, Google Cloud Infrastructures preferred
• Experience with planning applications like SAP, Oracle, e2open, Kinnaxis, JDA, etc preferred
• Statistical, Optimization, and Simulation skills through software tools and packages like R/Javascript/Python preferred
• Hands-on familiarity with Microsoft Excel/Access is a plus
• Bachelor of Science, or higher degree in Computer Engineering, Supply Chain, Operations Research, Computer Science, Statistics, or a related quantitative field Masters of Science or higher degree in Computer Engineering, Supply Chain, Operations Research, Computer Science, Statistics or a related quantitative field is preferred