
Data Engineering Leader
1 day ago
Data Engineering Leader
Experience:
10-14 yearsSummary:
As a Data Engineering Leader, you will lead a team of Senior Engineers and propose architecture for data warehouse design and development using AWS, Spark, Python, SQL, Databricks, and dbt.- Architect and implement workflow management systems using Airflow.
- Design and develop cloud-native data-intensive applications on Amazon Web Services (AWS).
- Build and maintain Spark applications with hands-on experience.
- Have fundamental understanding of Parquet, Delta Lake, and other OTFs file formats.
Responsibilities:
- Propose and review architecture.
- Solve complex situations and data models.
- Lead a team of Senior Engineers.
- Communicate with clients to gather requirements.
- Identify risks and have mitigation strategies.
- Develop high-quality features and deliver them to a high standard.
Requirements:
- 10+ years of experience in software development and data structures/algorithms with a focus on backend and data engineering.
- 8+ years of hands-on experience in using Python, JVM, and Shell Scripting with production experience.
- 5+ years of proven experience in building cloud-native data-intensive applications, Amazon Web Service experience is a must.
- Experience in Data Warehouse design and development per business nature using modern data warehouses.
- Highly proficient in architecting and implementing workflow management systems using Airflow.
- Familiarity with containerization and orchestration technologies like Docker and Kubernetes.
- Hands-on experience in building and maintaining Spark applications.
- Proficiency in an IaC tool like Terraform, CDK, or CloudFormation.
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