AWS Data Engineer
Summary
Builds and maintains AWS-based data pipelines using PySpark, AWS Glue, Lambda, and Step Functions; automates infra with Terraform and CI/CD.
. Strong hands-on experience with
PySpark
and Python for data engineering. . Experience developing ETL pipelines using
AWS Glue . . Proficiency with
AWS Step Functions
for workflow orchestration. . Experience building serverless solutions using
AWS Lambda . . Hands-on experience with
Terraform
for Infrastructure as Code (IaC). . Experience implementing
CI/CD
pipelines using tools such as GitLab, GitHub Actions, Jenkins, or similar. . Good understanding of AWS services, data lakes, IAM, S3, CloudWatch, and monitoring.
PySpark
and Python for data engineering. . Experience developing ETL pipelines using
AWS Glue . . Proficiency with
AWS Step Functions
for workflow orchestration. . Experience building serverless solutions using
AWS Lambda . . Hands-on experience with
Terraform
for Infrastructure as Code (IaC). . Experience implementing
CI/CD
pipelines using tools such as GitLab, GitHub Actions, Jenkins, or similar. . Good understanding of AWS services, data lakes, IAM, S3, CloudWatch, and monitoring.