AWS Developer with Python

As an experienced AWS ETL developer with a minimum of 6 years of experience, you will be responsible for designing, developing, and deploying scalable ETL workflows and data pipelines within AWS. Your key responsibilities will include: - Strong experience with AWS services such as EC2, IAM, KMS, Lambda, Batch, Terraform/CFT, EventBridge, Managed Kafka, Kinesis, and Glue. - Proficiency in PySpark for big data processing within AWS Glue. - Solid understanding of data modeling concepts. - Proficiency in Python for scripting and development. - Knowledge of SQL and NoSQL data storage techniques. - Competence in SQL query performance tuning, index management, and database structure. - Building and monitoring data workflows using AWS-native services. - Developing and maintaining infrastructure as code using Terraform or CloudFormation. - Collaborating with teams to implement effective data transformations and optimize pipelines. - Ensuring data security and compliance through the proper use of AWS IAM and KMS. - Participating in code reviews, testing, and production support. - Documenting processes, data flows, and infrastructure configurations. Additionally, the company values strong problem-solving, communication, and collaboration skills. This is a full-time position that requires in-person work at the specified location. As an experienced AWS ETL developer with a minimum of 6 years of experience, you will be responsible for designing, developing, and deploying scalable ETL workflows and data pipelines within AWS. Your key responsibilities will include: - Strong experience with AWS services such as EC2, IAM, KMS, Lambda, Batch, Terraform/CFT, EventBridge, Managed Kafka, Kinesis, and Glue. - Proficiency in PySpark for big data processing within AWS Glue. - Solid understanding of data modeling concepts. - Proficiency in Python for scripting and development. - Knowledge of SQL and NoSQL data storage techniques. - Competence in SQL query performance tuning, index management, and database structure. - Building and monitoring data workflows using AWS-native services. - Developing and maintaining infrastructure as code using Terraform or CloudFormation. - Collaborating with teams to implement effective data transformations and optimize pipelines. - Ensuring data security and compliance through the proper use of AWS IAM and KMS. - Participating in code reviews, testing, and production support. - Documenting processes, data flows, and infrastructure configurations. Additionally, the company values strong problem-solving, communication, and collaboration skills. This is a full-time position that requires in-person work at the specified location.