[Hiring] Senior Databricks Genie and Analytics Engineer @Manning Global

Role Description

This is a remote position.

Manning Global is recruiting for a Senior Databricks Genie and Analytics Engineer on behalf of one of their blue-chip international clients to join their organization in India.

Job Title: Senior Databricks Genie and Analytics Engineer

Employment: Full time

Start Date: 11/2026

Country: India - Remote-Europe time zone

Salary range: 15 LPA to 18 LPA

Contact: Ashwini Chawan on: +49 (0) 89 23 88 98 35

Key Responsibilities

• 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.

Qualifications

• 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.
• Strong English communication, attention to detail and confidence discussing KPI definitions with business stakeholders.

Preferred Experience

• Databricks SQL, Unity Catalog and metric views.
• Databricks Genie or other conversational analytics evaluation.
• Microsoft Fabric Lakehouse/Warehouse, semantic models and data pipelines.
• Power BI model metadata/TMDL and tools for inspecting DAX behaviour.
• Semantic model performance analysis and data quality automation.
• Telecom, subscription, sales or network reporting.
• Direct Genie experience is useful but not mandatory for this role. Strong SQL, DAX and demonstrated reconciliation work are the priorities.