Associate Data Engineer - R01571250

We help businesses define digital transformation objectives and turn them into actionable market strategies.

Location: Bangalore, Karnataka, India
Company size: 5,000–10,000
Posted: Today
Via: Lever

Section II · Full ProfileFree with an account

01Comp band & equity packageLocked
02Seniority & experience requirementsLocked
03Interview process & rubricLocked
04Headcount & which departments are hiringLocked
05Growth trajectory in this roleLocked
06Offer & decision timelineLocked

Read the full brief Sign in

Free · 2 minutes · the funding and stack behind this role

Job listing · Updated 29 OCT 2026

Associate Data Engineer - R01571250

Brillio· Bangalore, Karnataka, IndiaView company profile

Job title: Associate Data Engineer - R01571250
Job location: Bangalore, Karnataka, India
Job listing URL: https://jobs.lever.co/brillio-2/f7f9f468-7bda-42c4-9904-2a191eabc5fb
Job description: 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.