Posting record
Open 6 days
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- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
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Last checked Nov 3, 2026.
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Upload your resumeWhat it asks of you
- 0–2 years of experience
- Bachelor's degree asked for
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
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Skills mentioned
About the role
Associate Data Engineer
Primary Skills
- Athena, SNS, SQS, CloudWatch, Kinesis, Redshift
Specialization
- AWS Data EngineerIng Advanced: Associate Data Engineer
Job requirements
- Experience Range: 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. Key Responsibilities: 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. Required Skills: 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.
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