Posted on: 15/10/2025
Description :
- Translate raw data from sources (Zuora, CommerceTools, APIs, legacy databases) into curated Silver and Gold tables.
- Apply business logic, standardization, and data quality checks.
- Partner with analysts and business stakeholders to validate metric definitions.
- Replatforming Support
- Audit existing pipelines for dependencies on legacy data structures.
- Update models and jobs to consume data from new transactional systems.
- Ensure lineage tracking and compatibility with downstream reporting and analytics.
- Collaboration & Documentation
- Work closely with engineers, analysts, and business partners to document requirements, transformations, and validations.
- Contribute to metadata tagging and data cataloging (Unity Catalog).
- Deliver detailed documentation including data dictionaries, constraints (PK, FK), and pipeline logic.
Requirements :
- Minimum 7+ years of relevant experience.
- Strong data modeling skills (Kimball methodology) with hands-on Databricks experience.
- Proficiency in SQL and Python.
- Expertise with Databricks features such as workflows, DLTs, Delta tables, and Unity Catalog.
- Familiarity with Medallion Architecture (Bronze/Silver/Gold layers).
- Experience with version control systems (GitHub).
- Solid understanding of data governance, data quality frameworks, and observability practices.
- Ability to work effectively across analytics, product, and engineering teams.
Preferred skills :
- Experience with replatforming large transactional systems.
- Exposure to subscription and commerce data domains.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1560744