Analytics Data Engineer (NM+)
oraclecloud
|
7 days ago
|
Bengaluru
- Lead development of analytics data models (dimensional and/or domain-oriented) optimized for reporting, business intelligence, and self-service consumption.
- Design and maintain a semantic layer (standardized metrics, dimensions, entities, and business definitions) to ensure consistency across dashboards and analyses.
- Translate stakeholder requirements into clear modeling deliverables (entities, grains, metric definitions, acceptance criteria).
- Build transformations primarily in SQL, leveraging Python when needed for complex logic, automation, or validation.
- Implement and champion data quality controls (tests, reconciliations, anomaly checks) tied to business-critical metrics.
- Optimize model performance in Snowflake and/or Databricks (efficient joins, partitioning and clustering strategies where applicable, cost/performance trade-offs).
- Collaborate with upstream teams on source system understanding (including semi-structured data and non-relational sources) and ensure analytics models reflect correct business meaning.
- Establish modeling standards: naming conventions, documentation, lineage, metric governance, and change management for semantic definitions.
- Support enablement by documenting curated datasets, creating user guidance, and helping consumers adopt the semantic layer correctly.
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