Job Description

Responsibilities

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  • Design and implement effective data models and table structures across various storage systems, including relational databases, NoSQL stores, data warehouses, and data lakes.

  • Build, maintain, and optimize robust data pipelines (ETL/ELT) to ingest, transform, and load data from production systems and external sources.

  • Use workflow orchestration tools to schedule, automate, and monitor data pipelines, ensuring their reliability and performance.

  • Define and implement data quality standards and processes (e.g., bronze, silver, gold tiering), including handling missing values and ensuring data integrity, accuracy, and completeness.

  • Establish and enforce data governance policies and procedures, manage data lineage and metadata, implement access controls and encryption, and support compliance with data privacy regulations (e.g., GDPR, CCPA).

  • Implement and manage scalable data platforms (da...
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