Associate Data Engineer - R01571250

Associate Data Engineer

Responsibilities

• Primary Skills
• Athena, SNS, SQS, CloudWatch, Kinesis, Redshift
• Specialization

AWS Data EngineerIng Advanced: Associate Data Engineer

• 1.
• Manage manufacturing data ingestion into enterprise data lake and analytics platforms using AWS services.
• 2.
• Configure and maintain data ingestion frameworks, mappings, and metadata definitions.
• 3.
• Perform data validation, quality checks, and troubleshoot issues in production data pipelines.
• 4.
• Integrate data from sources such as SharePoint, OneDrive, SFTP, LIMS, and manufacturing systems.
• 5.
• Assist in developing automation solutions for document processing and data extraction with AWS tools.
• 6.
• Support analytics platforms by enabling efficient data access and pipeline performance.
• 7.
• Create and maintain technical documentation, SOPs, and knowledge-transfer materials.

Requirements

• Entry-level role with at least 0 to 2 years of hands-on experience in AWS data engineering, ideally including exposure to manufacturing or life sciences data environments.
• 1.
• Python 2.
• SQL 3.
• Databricks 4.
• AWS S3 5.
• AWS Lambda 6.
• Data engineering and ETL pipeline development 7.
• Data quality and validation 8.
• Data integration in cloud environments Preferred Skills: 1.
• AWS Textract or OCR technologies 2.
• Experience with Life Sciences or Pharmaceutical domain data 3.
• Familiarity with LIMS and Manufacturing Execution Systems (MES/EMES) 4.
• Experience in enterprise data lake environments Desired Qualifications: 1.
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field 2.
• Completion of relevant AWS or Databricks training courses (certification preferred but not required) Additional Information: Project tenure is 1 year with potential extension.