Key Responsibilities
Design and implement scalable data platform components using AWS Step Functions Glue S3 Lake Formation Iceberg and Athena.
Develop and maintain robust ETL and batch processing frameworks to support large-scale data ingestion and transformation.
Write clean efficient and testable code in Python to support platform services and automation.
Build and maintain CI/CD pipelines using GitHub Actions or similar tools to ensure reliable and repeatable deployments.
Optimize cloud infrastructure for performance and cost leveraging best practices in cloud-native architecture.
Document platform architecture processes and operational runbooks.
Required Qualifications
5 8 years of experience in software development with a strong focus on backend or platform engineering.
Proven experience with AWS data services and data lake architectures.
Strong programming skills in Python.
Hands-on experience with GitHub CI/CD and infrastructure-as-code practices.
Demonstrated ability to optimize cloud infrastructure for scalability performance and cost-efficiency.
Excellent communication skills and a collaborative mindset.
Nice to Have
Experience with Databricks or similar unified analytics platforms.
Familiarity with synthetic data generation techniques.
Exposure to data platform architecture or experience in a platform architect role.
Key Responsibilities Design and implement scalable data platform components using AWS Step Functions Glue S3 Lake Formation Iceberg and Athena. Develop and maintain robust ETL and batch processing frameworks to support large-scale data ingestion and transformation. Write clean efficient and...
Key Responsibilities
Design and implement scalable data platform components using AWS Step Functions Glue S3 Lake Formation Iceberg and Athena.
Develop and maintain robust ETL and batch processing frameworks to support large-scale data ingestion and transformation.
Write clean efficient and testable code in Python to support platform services and automation.
Build and maintain CI/CD pipelines using GitHub Actions or similar tools to ensure reliable and repeatable deployments.
Optimize cloud infrastructure for performance and cost leveraging best practices in cloud-native architecture.
Document platform architecture processes and operational runbooks.
Required Qualifications
5 8 years of experience in software development with a strong focus on backend or platform engineering.
Proven experience with AWS data services and data lake architectures.
Strong programming skills in Python.
Hands-on experience with GitHub CI/CD and infrastructure-as-code practices.
Demonstrated ability to optimize cloud infrastructure for scalability performance and cost-efficiency.
Excellent communication skills and a collaborative mindset.
Nice to Have
Experience with Databricks or similar unified analytics platforms.
Familiarity with synthetic data generation techniques.
Exposure to data platform architecture or experience in a platform architect role.
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