Senior Databricks Engineer, Analytics

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

💵 ₹1.5M - ₹1.8M / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 19%

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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Manning Global AG

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Manning Global AG is one of the fastest growing staffing and managed services organizations globally, partnering with numerous Blue Chip Companies in sectors such as Telecoms, IT, ICT, Pharmaceuticals, Finance, Media, and Banking. They offer various services including temporary staffing, permanent staffing, managed services, and recruitment process outsourcing, helping individuals find their ideal job positions worldwide.

📋 Description

• Work with reporting owners to document KPI definitions, calculation rules, source mappings, dimensions, filters and acceptance criteria • Analyse Power BI semantic models and DAX measures to understand authoritative reporting logic • Develop reference SQL and test datasets; work with the Databricks engineer to translate approved logic into metric views and supporting queries • Reconcile results across source data, reporting models and Genie answers, documenting and resolving discrepancies with the appropriate owner • Test aggregation, distinct counts, ratios, date boundaries, missing values, duplicate records and differences in data refresh timing • Create a benchmark question set with approved reference answers, tolerances and repeatable regression checks • Assess answer relevance, table/chart consistency, document citations and behaviour when questions are ambiguous or unsupported • Test that users receive only the results permitted by the agreed access model • Coordinate user acceptance testing, track defects and prepare evidence for business sign-off • Document KPI definitions, validation procedures and known limitations for handover

🎯 Requirements

• Strong BI or analytics engineering experience; typically 4+ years with hands-on semantic modelling and data validation • Advanced SQL and strong Power BI/DAX skills, including relationships, filter context, time intelligence and measure behaviour • Experience reconciling numbers across reports or systems and tracing discrepancies to data, business definitions or calculation logic • Understanding of dimensional modelling, fact-table grain, joins and additive/non-additive measures • Ability to build repeatable data checks using SQL and a scripting or testing tool, such as Python • Experience turning business requirements into testable acceptance criteria and supporting UAT • English communication, strong attention to detail and confidence discussing KPI definitions with business stakeholders • Preferred: Databricks SQL, Unity Catalog and metric views • Preferred: Databricks Genie or other conversational analytics evaluation • Preferred: Microsoft Fabric Lakehouse/Warehouse, semantic models and data pipelines • Preferred: Power BI model metadata/TMDL and tools for inspecting DAX behaviour • Preferred: Semantic model performance analysis and data quality automation • Preferred: Telecom, subscription, sales or network reporting