AWS Data Engineer
Harry MelvinUnited StatesSENIORPosted 5h ago
AWS S3AWS GlueAWS LambdaAWS Step FunctionsAWS Lake FormationAWS CLIPythonBoto3Data EngineeringPostgreSQLDynamoDBSnowflakeApache SparkPySparkTerraformJenkinsBitbucket/GitCI/CDServiceNowCloudWatchSplunkDatabricksApache IcebergAWS AthenaEMRRedshiftControl-MAWS BedrockJavaScalaGCPAzure
About the Role
We are looking for strong hands-on AWS Data Engineers with experience building end-to-end data pipelines from scratch.
Key Responsibilities
• Design and implement end-to-end data pipelines
• Develop and maintain AWS data solutions using S3, Glue, Lambda, and other AWS services
• Work with Python for scripting and API development
• Manage databases including PostgreSQL, DynamoDB, and Snowflake
• Utilize Big Data technologies like Apache Spark and PySpark
• Implement DevOps practices with Terraform, Jenkins, and CI/CD
• Monitor systems using CloudWatch and Splunk
Requirements
• 8+ years of experience in AWS data engineering
• Strong development and scripting skills in Python
• Experience with end-to-end pipeline development, ingestion, transformation, and data integration
• Proficiency in databases such as PostgreSQL, DynamoDB, and Snowflake
• Knowledge of Big Data technologies like Apache Spark and PySpark
• Familiarity with DevOps tools including Terraform, Jenkins, and CI/CD
• Experience with monitoring tools like CloudWatch and Splunk
• Ability to work independently on designing and building production AWS data pipelines