Lead Data Engineer
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About the Role
Seeking an experienced Data Engineer to design scalable ETL pipelines, optimize cloud solutions, and ensure data security with strong analytical skills.
Key Skills for This Role
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Overview
- We are seeking an experienced and visionary Lead Data Engineer (Cloud) to lead our data-driven decision-making processes.
- This role requires someone with a balance of analytical skills, strategic foresight, and the ability to collaborate effectively across diverse teams.
- The Data Engineer will be instrumental in creating scalable data pipelines, optimizing data architectures, and ensuring the overall security and reliability of cloud-based data solutions.
- The ideal candidate will have a strong background in data architecture, ETL pipelines, cloud platforms (AWS, Azure, GCP), and big data technologies.
- Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines using cloud-native tools.
- Implement best practices for data ingestion, transformation, and loading processes across multiple sources.
- Automate workflows and develop data pipelines using tools such as Apache Airflow, Glue, Databricks, or Dataflow.Architect, build, and maintain cloud-based data solutions using AWS, Azure, or Google Cloud Platform (GCP).
- Optimize cloud infrastructure for cost, performance, and security.
- Implement monitoring, logging, and alerting solutions for data pipelines and cloud infrastructure.
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