Azure Data Lake Engineer
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Mounisha S
4:59 PM (2 hours ago) 4:59 PM
to Mounisha S
Azure Data Lake Engineer
8+ years of experience required
Data Feed Review & Optimization
• Assess existing MDL data tables and create a structured inventory.
• Conduct data feed reviews with the MDL community.
• Improve data structures, performance, and documentation.
New Data Feed Engineering
• Support the identification of relevant Marketing & non Marketing data products.
• Implement and test new data feeds; ensure quality and consistency.
• Align with data stakeholders and support enablement.
Automation & Data Quality
• Replace manual uploads with automated pipelines.
• Develop concepts and PoCs for data quality checks (top 20 tables).
• Execute in depth quality reviews and implement corrective actions.
Documentation, Lineage & Governance
• Document lineage, transformations, and table-level metadata.
• Set up data dictionaries, PII-handling concepts, and taxonomy standards.
• Contribute to ER model development and artefact standardization.
Community Support & Enablement
• Coordinate across the MDL community.
• Support access requests, platform education, and use-case repository updates.
________________________________________
Required Qualifications
• Strong data engineering background (3–5+ years).
• Proficiency with Azure data lake, SQL, Databricks, and modern data pipelines.
• Experience with data lineage, metadata, documentation, and data quality frameworks.
• Ability to structure complex datasets and communicate with cross-functional teams.
Preferred Qualifications
• Experience with SAP Data Lake, SAP Datasphere, BDC, or Collibra.
• Background in Marketing data or large-scale data lake optimization.
________________________________________
What You Gain
• Direct influence on the future state of MDL.
• Collaboration with a skilled, cross-functional data community.
• A dynamic environment with room for engineering innovation.
8+ years of experience required
Data Feed Review & Optimization
• Assess existing MDL data tables and create a structured inventory.
• Conduct data feed reviews with the MDL community.
• Improve data structures, performance, and documentation.
New Data Feed Engineering
• Support the identification of relevant Marketing & non Marketing data products.
• Implement and test new data feeds; ensure quality and consistency.
• Align with data stakeholders and support enablement.
Automation & Data Quality
• Replace manual uploads with automated pipelines.
• Develop concepts and PoCs for data quality checks (top 20 tables).
• Execute in depth quality reviews and implement corrective actions.
Documentation, Lineage & Governance
• Document lineage, transformations, and table-level metadata.
• Set up data dictionaries, PII-handling concepts, and taxonomy standards.
• Contribute to ER model development and artefact standardization.
Community Support & Enablement
• Coordinate across the MDL community.
• Support access requests, platform education, and use-case repository updates.
________________________________________
Required Qualifications
• Strong data engineering background (3–5+ years).
• Proficiency with Azure data lake, SQL, Databricks, and modern data pipelines.
• Experience with data lineage, metadata, documentation, and data quality frameworks.
• Ability to structure complex datasets and communicate with cross-functional teams.
Preferred Qualifications
• Experience with SAP Data Lake, SAP Datasphere, BDC, or Collibra.
• Background in Marketing data or large-scale data lake optimization.
________________________________________
What You Gain
• Direct influence on the future state of MDL.
• Collaboration with a skilled, cross-functional data community.
• A dynamic environment with room for engineering innovation.
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