Opening for Data Engineer_Wissen Technology at Wissen Technology · Bengaluru (Bangalore), Pune · 4 - 12 years · Profitable · Posted 24 Jan 2025

Requirements:
• Bachelor’s degree in computer science, Engineering, or a related field.
• Strong understanding of distributed data processing platforms like Databricks and BigQuery.
• Proficiency in Python, PySpark, and SQL programming languages.
• Experience with performance optimization for large datasets.
• Strong debugging and problem-solving skills.
• Fundamental knowledge of cloud services, preferably Azure or GCP.
• Excellent communication and teamwork skills.
Nice to Have:
• Experience in data migration projects.
• Understanding of technologies like Delta Lake/warehouse.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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THE MISSION
We aren't automating scripts — we're deprecating the era of manual-heavy testing entirely. TestMu AI is building the world's first AI-native platform where Agentic Intelligence autonomously plans, authors, and self-heals the entire Quality Engineering lifecycle.
Drive reliability and scalability of TestMu AI's core infrastructure and service workflows.
THE PILLARS OF IMPACT
🚀 1. Platform Reliability (50%)
– Ensure robust cloud infrastructure and deployment pipelines.
– Improve observability tools and practices.
– Automate and streamline service workflows.
– Enhance platform systems for developer efficiency.
⚙️ 2. Infrastructure Engineering (30%)
– Build and maintain cloud-based systems.
– Optimize performance and scalability.
– Implement infrastructure improvements based on feedback.
🧠 3. Incident Management (20%)
– Lead incident response with strong SRE principles.
– Analyze and resolve production issues swiftly.
– Develop strategies to prevent future incidents.
MUST-HAVES — DO NOT APPLY UNLESS YOU HAVE THESE
– You must have strong cloud, scripting, and core DevOps fundamentals.
– You must have hands-on experience with observability tools like New Relic, Sumo Logic.
– You must demonstrate real coding ability.
– You must have a strong grasp of incident management and reliability/SRE thinking.
– You must explain service-layer architecture and reasoning effectively.
THE BAR — WHAT YOU MUST PROVE
Cloud Expertise: Designed and optimized cloud infrastructure for scalability and reliability.
Coding Proficiency: Developed scripts and tools to automate deployment processes.
Incident Management: Led a team to resolve critical production incidents effectively.
Architecture Understanding: Explained complex service architectures to non-technical stakeholders.
The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance.
Key Responsibilities
•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments
•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval
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•Integrate data pipelines with application services
•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement
•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents
•Apply data governance and security best practices
•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions
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Required Qualifications
•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
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•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts
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•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis
•Understanding of data security, privacy, and governance principles in enterprise environments
Preferred Qualifications
•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning
•Experience with unstructured data processing for generative AI
•Familiarity with vector databases or vector search and RAG patterns
•Experience with event streaming and messaging
•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting)
•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks)
JOB BRIEF:
We are looking for a resilient, empathic business development executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption. You will also be required to build capacity in staff through regular training and mentorship.
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Education: Bachelor’s degree/Master’s degree
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RESPONSIBILITIES:
- Familiarizing yourself with all products and services offered by our company.
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- Attending networking activities to research and connect with prospective clients.
- Maintaining meaningful relationships with existing clients to ensure that they are retained.
- Suggesting upgrades or added products and services that may be of interest to clients.
- Crafting business proposals and contracts to draw in more revenue from clients.
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- Degree in marketing, business administration, or similar.
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- Excellent written and verbal communication.
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We are hiring a Senior Backend Developer for our client, a US-based tech company, to take ownership of backend architecture, scalability, and infrastructure. This is a critical engineering role where you'll lead feature development and ensure high system performance as the company grows rapidly.
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- Build and maintain scalable backend systems using Python (Django, Flask, or FastAPI)
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- Architect and deploy containerized microservices with a focus on performance and scalability
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- 3+ years of backend development experience
- Proficient in Python and at least one framework (Django, Flask, or FastAPI)
- Strong knowledge of PostgreSQL or MySQL
- Experience with Redis and RabbitMQ
- Hands-on experience with AWS (EC2, RDS, S3)
- Strong understanding of data structures, algorithms, and backend system design
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- Familiarity with JavaScript and frontend frameworks like React.js or Vue.js
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You need to be comfortable working in a remote environment (Good internet connection and availability on phone is required)
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Full Stack Developer
This position would design scalable, efficient and maintainable software architectures using Node.js
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