Cloud Architect and Data Engineer
Há 2 dias
Candidate should have experience in data pipeline architecture on AWS and knowledge of data engineering tools like AWS Glue, Lambda, S3, and Redshift.
The role involves designing and implementing scalable data pipelines, developing and optimizing ETL workflows, ensuring data integrity, governance, and security, and collaborating with Data Scientists, AI/ML Engineers, and DevOps teams.
Candidate should have experience in ETL orchestration tools (Step Functions, Airflow, Prefect, Dagster), familiarity with containerization (Docker, Kubernetes, ECS) and CI/CD pipelines, and understanding of data security, IAM policies, and encryption best practices.
Responsibilities- Design and implement scalable data pipelines using AWS services.
- Develop and optimize ETL workflows to process large datasets efficiently.
- Collaborate with Data Scientists, AI/ML Engineers, and DevOps teams to support data-driven applications.
- Monitor and troubleshoot data pipelines with CloudWatch, Datadog, or ELK Stack.
- Strong experience as a Data Engineer with expertise in AWS cloud environments.
- Proficiency in Python, SQL, and Spark for data processing and transformation.
- Hands-on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda.
- Experience with ETL orchestration tools (Step Functions, Airflow, Prefect, Dagster).
- Familiarity with containerization (Docker, Kubernetes, ECS) and CI/CD pipelines.
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