Senior Databricks Engineer, Analytics

This is a fully remote position, open to applicants in India.

📋 Description

• Collaborate with reporting owners to document definitions of KPIs, calculation rules, source mappings, dimensions, filters, and acceptance criteria.

• Analyze Power BI semantic models and DAX measures to comprehend the authoritative reporting logic.

• Create reference SQL and test datasets; partner with the Databricks engineer to convert approved logic into metric views and supporting queries.

• Reconcile results from source data, reporting models, and Genie answers, documenting and addressing discrepancies with the relevant owner.

• Conduct tests on aggregation, distinct counts, ratios, date boundaries, missing values, duplicate records, and variations in data refresh timing.

• Develop a benchmark question set with validated reference answers, tolerances, and repeatable regression checks.

• Evaluate answer relevance, table/chart consistency, document citations, and behavior when questions are ambiguous or unsupported.

• Ensure that users only receive results allowed by the established access model.

• Organize user acceptance testing, monitor defects, and prepare documentation for business sign-off.

• Record KPI definitions, validation procedures, and known limitations for handover.

⛳️ Requirements

• Extensive experience in BI or analytics engineering, typically 4+ years, with practical knowledge of semantic modeling and data validation.

• Proficient in SQL and strong skills in Power BI/DAX, including understanding of relationships, filter context, time intelligence, and measure behavior.

• Experience in reconciling figures across reports or systems and tracing discrepancies back to data, business definitions, or calculation logic.

• Knowledge of dimensional modeling, fact-table grain, joins, and both additive and non-additive measures.

• Capability to create repeatable data checks using SQL and a scripting or testing tool, such as Python.

• Experience in translating business requirements into testable acceptance criteria and supporting UAT processes.

• Proficient in English communication, with a strong attention to detail and the confidence to discuss KPI definitions with business stakeholders.

• Preferred: Familiarity with Databricks SQL, Unity Catalog, and metric views.

• Preferred: Experience with Databricks Genie or other conversational analytics evaluations.

• Preferred: Knowledge of Microsoft Fabric Lakehouse/Warehouse, semantic models, and data pipelines.

• Preferred: Understanding of Power BI model metadata/TMDL and tools for analyzing DAX behavior.

• Preferred: Skills in semantic model performance analysis and data quality automation.

• Preferred: Background in telecom, subscription, sales, or network reporting.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and training.

• Flexible work hours and remote work options.

• Engaging company culture with team-building activities.