Senior Database Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Prose on Pixels

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📣 Marketing

📱 Media

🤝 B2B

Marketing • Media • B2B

Prose on Pixels is likely a creative content studio or agency focused on brand storytelling, digital creative media and production. The only available material provided is content from Havas' corporate site listing services such as Brand Consultancy & Design, Creative Media, Production & Content at Scale, PR and Customer Experience; that context strongly suggests Prose on Pixels operates in marketing and media services for business clients, but no direct company-specific details (products, size, or ownership) were provided for Prose on Pixels itself. The description is intentionally conservative: Prose on Pixels appears to offer creative/brand services and content production, working B2B with brands and organizations.

📋 Description

• Design, build, optimize, and evolve modern Microsoft data platforms across Azure and Microsoft Fabric • Own cloud data engineering, enterprise warehouse and lakehouse architecture, data integration, semantic consumption, and AI-ready data products • Design scalable Fabric Lakehouse, Fabric Warehouse, and hybrid warehouse architectures with raw, standardized, curated, and consumption-ready layers • Design dimensional models, star schemas, facts, dimensions, data marts, semantic-ready datasets, and reusable data products • Build production ETL/ELT using Fabric Data Factory, Azure Data Factory, SQL, Python, PySpark, notebooks, APIs, files, and event or batch integration patterns • Engineer OneLake-aligned solutions, shortcuts, pipelines, notebooks, SQL endpoints, Power BI semantic models, and Direct Lake patterns • Create governed data foundations for generative AI, copilots, agents, search, and analytics using Microsoft Foundry or Azure OpenAI, Azure AI Search, and enterprise data sources • Design and implement RAG workflows including ingestion, chunking, metadata, embeddings, vector/hybrid retrieval, grounding, prompt design, citations, and evaluation • Evaluate LLM solution quality, grounding, latency, cost, content safety, data leakage risk, and business fitness before production use • Use Copilot in Microsoft Fabric, GitHub Copilot, Microsoft 365 Copilot, Copilot Studio, or approved enterprise copilots to accelerate development and build user-facing experiences • Apply responsible AI practices, human review, access controls, privacy protections, prompt and model testing, auditability, and monitoring • Implement data quality, lineage, observability, reconciliation, validation, security, and governance controls throughout the engineering lifecycle • Use Git, pull requests, automated tests, CI/CD, environment promotion, and Infrastructure as Code for data pipelines, notebooks, database objects, and platform configuration • Optimize workloads for performance, scalability, reliability, and cost across SQL, Spark, Fabric capacity, storage, pipelines, and semantic models • Partner with BI, analytics, application engineering, DBAs, security, infrastructure, and business stakeholders on end-to-end solution architecture • Provide technical leadership, code and design reviews, reusable templates, technical documentation, and mentoring

🎯 Requirements

• Minimum 7 years of professional data engineering, database engineering, data warehousing, or closely related experience, including senior-level design ownership • Hands-on production experience with Azure data services and Microsoft Fabric or equivalent Microsoft cloud lakehouse/warehouse technologies • Advanced SQL and strong knowledge of relational design, dimensional modeling, data warehousing, data marts, and performance engineering • Experience building and operating ETL/ELT pipelines with SQL, Python or PySpark, notebooks, APIs, files, orchestration, and incremental processing patterns • Practical AI/LLM experience, including at least one implemented Copilot, chatbot, agent, RAG, intelligent search, or LLM-enabled data solution • Experience with prompt engineering, grounding, embeddings, vector or hybrid retrieval, model evaluation, responsible AI, security, and observability • Experience with Git, pull requests, automated testing, CI/CD, environment promotion, and repeatable deployment practices • Strong understanding of identity, cloud security, data governance, privacy, data quality, lineage, and operational support • Hands-on ownership, sound judgment, attention to detail, and disciplined follow-through • Clear written and verbal communication with technical and non-technical stakeholders • Ability to mentor team members, lead design or incident reviews, and document repeatable standards • Commitment to security, data privacy, responsible technology use, and continuous learning

🏖️ Benefits

• Equal opportunities for all potential employees • Zero tolerance for discrimination • Inclusive hiring irrespective of age, sex, race, ethnicity, disability, and other factors unrelated to job performance