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Bengaluru · On-site · 4-7 Yrs · Oct 30
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Design ingestion pipelines feeding analytics and AI/GenAI use cases.
Qualifications
- Must have: 4+ yrs, AWS (Glue, S3, Lambda, Step Functions, Kinesis), Python, PySpark.
- Nice to have: Bedrock, vector databases, OpenSearch
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Job application FAQ
Last updated 4 November 2026
- How do I apply for Data Engineer AWS (LARA + ELA + Advanced AI Data Ingestion) at RADcube?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. RADcube may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer AWS (LARA + ELA + Advanced AI Data Ingestion) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer AWS (LARA + ELA + Advanced AI Data Ingestion) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer AWS (LARA + ELA + Advanced AI Data Ingestion) role at RADcube?
- This is a mid-level Data Engineer AWS (LARA + ELA + Advanced AI Data Ingestion) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.