Wissen Infotech
Website:
wissen.com
Job details:
Wissen Technology is Hiring for Data Cloud Developer
About Wissen Technology:
At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia . Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise , and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives . We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier t ale nt . Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.
Job Summary: We are looking for a skilled
Data Cloud Developer to join our team and support the expansion of our data ingestion, processing, and retrieval capabilities. The ideal candidate will have hands-on experience working with Salesforce Data Cloud (formerly Customer Data Platform), strong data engineering skills, and the ability to design scalable search and retrieval frameworks. This role will involve enhancing existing data pipelines, integrating new product-related data sources, refining search indexes, and ensuring optimal data relevance and performance.
Experience: 4 – 9 Years
Location: Bangalore
Mode of Work : Full time
Key Responsibilities:
- Data Modeling & Query Design Design, refine, and optimizeProduct Queriesbased onadditionalproduct attributes and new web data introduced insubsequentphases. Work closely with product and data teams to ensure data models reflect business needs.
- Data Pre‑Processing & Integration Collaborate with theWSI Data Teamtoidentifyrequired data pre-processing, transformations, or structural updates prior to ingestion intoData Cloud. Implement andvalidateupdates ensuring data quality, accuracy, and consistency.
- Data Ingestion & Search Index Enhancement Ingest newly onboarded data fields and datasets into Data Cloud. Update existingSearch IndexesandRetrieversto reflect expanded data coverage and ensureoptimal retrieval performance.
- Product Manuals – Data Streams & Retrieval Create newData Streams,Search Indexes, andRetrieversdedicated toProduct Manuals. Define and applyan appropriatechunkingstrategybased on document type, structure, length, and user retrieval needs.
- Performance & Relevance Validation Validate therelevance, accuracy, and latencyof data returned via Data Cloud Search. Conduct A/B tests, fine-tuning, and relevance scoring improvements when needed.
- Deployment & Configuration Migration Prepare and migrate all validated configurations intoUAT and Productionenvironments. Ensure smooth deployments following internal DevOps/governance guidelines and provide support during UAT testing cycles .
Requirements:
- 4–9 years of experience as aData Cloud Developer,Data Engineer, or similar role.
- Strong hands-on experience withSalesforce Data Cloud, including Data Streams, Data Explorer, Data Model Objects, Calculated Insights, and Data Cloud Indexing.
- ProficiencywithETL/ELT pipelines, data processing frameworks, and JSON/structured datasets.
- Experience designing and managingsearch indexes, embeddings, and retrievers.
- Strong understanding of data chunking strategies and RAG (Retrieval-Augmented Generation) frameworks.
- Ability to collaborate with cross-functional teams and translate business requirements into scalable technical solutions.
Good To Have Sk ills:
- Experience withLLM-based search, semantic search, vector indexing, or knowledge retrieval systems.
- Familiarity withSalesforce ecosystemtools and deployment processes (CI/CD, UAT, Production migrations).
- Hands-on experience with Python, SQL, or other scripting languages for data processing.
Wissen Sites:
Website: www.wissen.com
LinkedIn: https://www.linkedin.com/company/wissen-technology
Wissen Leadership: https://www.wissen.com/company/leadership-team/
Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
Wissen Thought Leadership: https://www.wissen.com/articles/
Click on Apply to know more.