Role: Senior Technical Consultant (Data Engineer) - Client Success
Location: Bangalore, Hybrid
About the role...
We are looking for a highly motivated and technically strong Senior Technical Consultant – Client Success to join our team. In this role, you will support o9 customers post-implementation, ensuring seamless platform operations, strong customer outcomes, and high system reliability.
You will play a critical role in managing automated batch processes, troubleshooting issues, and collaborating across Support, DevOps, Product, and Customer teams to deliver a stable and scalable solution environment.
What you will do in this role:
- Ensure timely response, recovery, and resolution of batch automation disruptions while meeting customer SLAs
- Monitor and maintain smooth operations of o9's cloud-based platform
- Work closely with DevOps and Support teams to troubleshoot and resolve system issues
- Validate, transform, and manage customer data using tools like SQL, SSIS, Excel, Apache NiFi, Hadoop, PySpark, and Hive
- Analyze customer data, understand functional/technical dependencies, and ensure data integrity
- Support CI/CD processes and improve system reliability
- Monitor and analyze system performance metrics for continuous improvement
- Develop automation scripts using Python, Bash, or PowerShell
- Understand and work with o9 platform data models (tables, relationships, optimization structures)
- Fine-tune performance, automate manual processes, and implement system checks
- Create and execute integration test cases; track and resolve bugs/issues
What you'll have...
- 2–5 years of relevant experience in technical consulting, support, or similar roles
- Strong proficiency in Python and SQL
- Hands-on experience with ETL tools like SSIS
- Experience with scripting languages such as Python, Bash, or PowerShell
- Exposure to cloud platforms like AWS, Azure, or Google Cloud (preferred)
- Experience with planning tools such as SAP, Oracle, e2open, Kinaxis, JDA (preferred)
- Knowledge of data processing tools like Hadoop, PySpark, Hive (preferred)
- Familiarity with statistical/optimization tools (R/Python/JavaScript) is a plus
- Strong analytical, problem-solving, and debugging skills
- Ability to take ownership and work independently with minimal supervision
- Good understanding of system performance tuning and automation
Education
- Bachelor's degree in Computer Science, Engineering, Supply Chain, Operations Research, Statistics, or a related quantitative field
- Master's degree (preferred)
What we'll do for you:
- Flat organization: With a very strong entrepreneurial culture (and no corporate politics).
- Great people and unlimited fun at work.
- Possibility to really make a difference in a scale-up environment.
- Support network: Work with a team you can learn from every day.
- Diversity: We pride ourselves on our international working environment.
- DavOs Insight (Turning VUCA into value with Neuro-Symbolic AI): https://l1nk.dev/ngQoe
- Work-Life Balance: https://youtu.be/IHSZeUPATBAfeature=shared
- Feel part of A team: https://www.youtube.com/watchv=O6B2lEJl2oI
How the process works...
- Setup & Create your profile in Workday to track the status - Link to apply.. If already done, kindly ignore!
- Respond with your interest to us.
- We'll contact you either via video call or phone call - whatever you prefer, with the further schedule status.
- During the interview phase, you will meet with the technical panel for 60 minutes. We will contact you after the interview to let you know if we'd like to progress your application.
- There will be 2 rounds of technical discussion followed by a Managerial round.
- We will let you know if you're the successful candidate.
Good luck!
