The role will be responsible for first- and second-level operational support, acting as the backbone between Data Engineering, business users, and production systems.

• Provide end-to-end first and second level support for PUMA Data Engineering and Cube Applications, ensuring uninterrupted business operations.

• Work closely with Data Engineers on projects, including creation of detailed Operations Guides and alignment on deployment and go-live timelines.

• Continuously evaluate and monitor data programs developed by Data Engineers in the production environment, proactively identifying performance gaps and recommending technical improvements.

• Own maintenance and support of existing BI platforms and systems, with the ability to immediately communicate incidents to business stakeholders and implement rapid fixes.

• Manage daily business-critical operations such as monitoring data loads, report subscriptions, and sales reloads to ensure data accuracy and availability.

• Troubleshoot and resolve technical issues across systems, minimizing downtime and business impact.

• Act as the primary support contact for end-user issues, providing fast and effective resolutions.

• Analyze PSP and JIRA data to visualize recurring user and technical issues, feeding insights back to Data Engineering teams to prevent future incidents.

• University degree in Computer Sciences or similar field of studies

• At least 3 years of experience in working in Cloud technologies (Azure, Databricks, ..)

• Knowledge of creating and maintaining Synapse data pipelines

• Knowledgeable in SSIS and PowerBI

• Knowledge of creating and maintaining PowerBI reports and datasets

• Knowledge of working with GitHub Repos

• Knowledge of monitoring Synapse data pipelines, databases and PowerBI reports

• Familiarity with supporting data engineering and PowerBI Applications in a high-availability and high-performance environment

• Excellent customer service skills, strong technical troubleshooting and problem-solving skills

• Must be resourceful, flexible and possesses excellent communication skills

• Capable of collaborating with multi-cultural environment

At PUMA, we push limits – not only in sport but also in how we work. As an Analyst Automation, you will play a key role in driving our automation agenda across the EMEA region and contributing to the global automation program.

In this role, you will:

• Collaborate closely with business users to understand automation needs and identify suitable solutions across EMEA

• Analyze existing business processes to uncover automation opportunities and efficiency gains

• Prepare clear process documentation and align requirements with business stakeholders

• Support automation developers by clarifying process-related questions

• Actively support PUMA’s Automation initiative and its global rollout

• Manage local automation projects, including cost tracking and ROI analysis

• Coordinate internal and external service providers where applicable

• Serve as the main point of contact for business communication at your location

• Recommend prioritization of automation requests for global pipeline management

• Manage projects within the Global Automation program in close alignment with the Global Project Manager

• Apply, promote, and continuously enhance automation best practices.

We are looking for a proactive and business‑oriented automation professional who thrives in a dynamic, international environment.

You bring:

• A university degree (B.S. or M.S.) in Computer Science, Business & Information Systems Engineering, or a related field

• Proven experience implementing and managing automation in complex enterprise environments

• Experience with automation tools such as UiPath, Power Automate, or Process Mining (strong advantage)

• A hands‑on mindset with a strong drive to deliver results

• Strong analytical and problem‑solving skills

• Solid understanding of end‑to‑end business processes

• Excellent communication and interpersonal skills, with the ability to adapt to change

• Strong cross‑cultural communication skills

• The ability to manage timelines while maintaining high standards in a fast‑paced environment

• A service‑oriented mindset

• Fluency in Business English.

This job opportunity will be available in full-time or part-time.

Puma AI & Machine Learning team is looking for AI Engineer to join in Bangalore HQ. The ideal candidate will work on design, development, deployment, and maintenance of scalable enterprise level GenAI solutions that drive business impact. The role focuses on translating business problems into scalable GenAI applications such as chatbots, copilots, document intelligence, and decision-support systems.

The AI and Machine Learning team is a business-critical team that is at the center of innovation for the company and is a major driver of company's products and business.

Some of the attractive pluses of the job are:
The opportunity to work with a world-class team of talented data scientists, Application Engineers, Data Analysts and business heads with the strong background, and who are extremely passionate about solving real-world applied problems in the retail and fashion industry.

A real opportunity to expand your skill-sets and a chance to learn and use the latest advances and approaches in AI and machine learning on real-world data-sets.

Working in fast-paced work environment where you are expected to be self-motivated and are measured on your performance.

1. Design, build, and deploy GenAI solutions using LLMs (OpenAI, Anthropic, Gemini, Hugging Face) and multimodal models (text, images, documents) for enterprise data products/applications.

2. Develop end-to-end AI pipelines including data ingestion, prompt engineering, evaluation and human feedback loop to learn and improve quality of output results.

3. Maintain, optimize, and enhance existing applications for performance and usability.

4. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases.

5. Implement prompt engineering strategies, prompt templates, and prompt evaluation.

6. Fine-tune LLMs using LoRA, PEFT, or instruction tuning, where required.

Skills & Experience Required:

• Strong proficiency in Python, SQL.
• Hands-on experience with LLMs and GenAI frameworks (LangChain, LlamaIndex etc.).
• Experience in prompt engineering and evaluation.
• Familiarity with Git for version control.
• Strong understanding of transformer architectures.
• Basic knowledge of cloud services (Databricks, Azure, or GCP).
• Experience with REST APIs and microservices.
• 4+ years of relevant experience in building GenAI solutions.
• Strong problem-solving and analytical abilities.
• Excellent teamwork and communication with technical and non-technical stakeholders.
• Ability to work independently and take ownership of tasks.
• Experience with LLM fine-tuning. Experience with knowledge graphs + GenAI.
• Exposure to enterprise search, document AI, or chatbot platform

Education Qualification:

• B.Tech / M.Tech in Computer Science / IT or related fields from one of the premier Institutes

We are seeking a “Senior Manager Data Engineering” to lead a team of Data Engineers responsible for building and operating scalable, reliable, and cost-efficient data pipelines on our modern data platform. This role combines technical leadership and hands-on development, ensuring engineering excellence through standards, code reviews, and best practices, while partnering closely with architects, analysts, and product stakeholders to deliver high-value data solutions.

Key Responsibilities

• Leading Data Engineers: Provide technical direction, set engineering standards, and ensure delivery quality across multiple initiatives.

• Engineering Excellence: Establish and enforce coding standards, guidelines, and review checklists.

• Code Review: Perform and oversee code reviews to ensure engineering guidelines and best practices are followed

• Data Pipeline Development: Lead the design and development of scalable data pipelines using Databricks & Apache Spark (PySpark).

• Collaboration: Work closely with data architects, analysts, and product owners to translate requirements into technical solutions and deliverables.

• Communication: Communicate technical status, risks, and trade-offs clearly to stakeholders and ensure delivery transparency.

• Documentation: Ensure high-quality documentation for workflows, data products, and operating procedures.

• Technical Skills:

  • Strong hands-on knowledge in Databricks and Apache Spark (PySpark)

  • Solid experience with Microsoft Azure Synapse, SQL Server, and SSIS (ETL patterns, orchestration, and legacy-to-modern migrations)

  • Experience designing/operating ETL/ELT pipelines with robust monitoring and troubleshooting.

  • Strong understanding of performance tuning and cost efficiency in cloud data workloads.

  • Experience with Delta patterns and Databricks pipeline orchestration (e.g., workflows / managed pipeline patterns).

  • Knowledge of cloud platforms (AWS, Azure, GCP).

  • A minimum of 5 years’ experience in a similar role is required.

• Leadership Skills:

  • Proven experience leading Data Engineering teams (technical guidance, coaching)

  • Demonstrated ability to run code reviews, define guidelines, and raise engineering maturity.

  • Strong stakeholder management and communication— able to align technical solutions to business needs.

  • Ability to manage multiple priorities in a fast-paced environment.