About the Role
As the Lead Data Integration Engineer, you will own the end-to-end data lifecycle, from source system analysis and complex data mapping to the orchestration of high-volume ETL pipelines.
Key Responsibilities
Strategic Oversight: Lead the end-to-end design, implementation, and optimization of high-performance data pipelines and processing workflows.
Architectural Excellence: Scale and refine our data ecosystem by implementing best practices in ETL/ELT, ensuring high reliability and performance.
Team Leadership & Mentorship: Cultivate a high-performing engineering culture. You will mentor a talented team, fostering an environment of continuous learning and technical innovation.
Data Governance & Security: Champion data integrity by developing and enforcing policies for data quality, security, and regulatory compliance.
Advanced Analytics Support: Collaborate closely with the Data Science team to provide the foundational infrastructure required for machine learning and p...
Key Responsibilities
Strategic Oversight: Lead the end-to-end design, implementation, and optimization of high-performance data pipelines and processing workflows.
Architectural Excellence: Scale and refine our data ecosystem by implementing best practices in ETL/ELT, ensuring high reliability and performance.
Team Leadership & Mentorship: Cultivate a high-performing engineering culture. You will mentor a talented team, fostering an environment of continuous learning and technical innovation.
Data Governance & Security: Champion data integrity by developing and enforcing policies for data quality, security, and regulatory compliance.
Advanced Analytics Support: Collaborate closely with the Data Science team to provide the foundational infrastructure required for machine learning and p...
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