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About the role
Key Responsibilities: Design and Develop: Build and maintain scalable data pipelines and frameworks for data processing and analytics. Optimize Performance: Monitor and optimize the performance of existing data platforms to ensure high availability and reliability. Data Modeling: Collaborate with data scientists and analysts to design effective data models that meet business needs. ETL Processes: Implement extraction, transformation, and loading (ETL) processes to facilitate seamless data integration. Documentation: Maintain thorough documentation of data pipeline processes, architecture, and operational procedures. Tooling and Technologies: Stay updated with new tools and technologies related to data engineering and advocate for their adoption. Team Collaboration: Work closely with cross-functional teams to understand their data needs and deliver effective solutions.
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