Technical Consultant - RDAF

o9solutions

Bengaluru

Hybrid

INR 1,200,000 - 1,800,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work model
International environment

Job summary

o9 Solutions in Bengaluru (Hybrid) seeks a Technical Consultant - Data Engineer for Client Success. You will support post-implementation operations, manage batch processes, and collaborate across Support, DevOps, Product, and Customer teams to deliver a stable, scalable platform.

The role requires 1–3 years of relevant experience, strong Python/SQL, ETL tools like SSIS, and exposure to cloud and big data tools. A Master’s is preferred, with a focus on data integrity and automation.

Qualifications

  • Bachelor's or higher in a quantitative field such as CS/Engineering/Statistics.
  • Strong Python and SQL skills.
  • Hands-on experience with ETL tools like SSIS.
  • Scripting experience with Python, Bash, or PowerShell.
  • Exposure to cloud platforms (AWS/Azure/Google Cloud) preferred.
  • Knowledge of data processing tools like Hadoop, PySpark, Hive preferred.

Responsibilities

  • 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.
  • Troubleshoot and resolve system issues with DevOps and Support teams.
  • Validate, transform, and manage customer data using SQL, SSIS, NiFi, and Hadoop ecosystem.
  • Develop automation scripts using Python, Bash, or PowerShell.
  • Support CI/CD processes and improve system reliability.
  • Analyze system performance and drive continuous improvements.

Skills

Python
SQL
Analytical thinking
Problem solving

Education

Bachelor's degree in CS/Engineering/Supply Chain/Statistics
Master's degree (preferred)

Tools

SSIS
Apache NiFi
Hadoop
PySpark
Hive
Python
Bash
PowerShell

Job description

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions-even billions-in value leakage, we help businesses plan smarter and faster.

Role : Technical Consultant (Data Engineer) - RDAF, Client Success

Location : Bangalore, Hybrid

About the role...

We are looking for a highly motivated and technically strong 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...
  • 1-3 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/IHSZeUPATBA?feature=shared
  • Feel part of A team: https://www.youtube.com/watch?v=O6B2lEJl2oI
More about us...

At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels-hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.

With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market s

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