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Triangle
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51 to 200 Employees · Sublaines, France
3 open roles1 posted in 7d3 in 30d
Hiring: Engineering
Job description
Overview
You will build and maintain large-scale data processing and streaming pipelines using Spark, Scala, and Kafka.
Responsibilities
- Develop and maintain data processing applications using Apache Spark and Scala.
- Implement real-time data streaming solutions using Kafka.
- Manage and optimize data workflows within the Hadoop ecosystem.
- Build scalable data pipelines to handle large-scale datasets.
Qualifications
- 8+ years of professional experience in big data engineering.
- Extensive experience with Apache Spark.
- Proficiency in Scala programming.
- Hands-on experience with Hadoop.
- Experience implementing Kafka for data streaming.
- Background in streaming data architectures.
- Experience with complex real-time data architectures.
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Job application FAQ
Last updated 13 October 2026
- How do I apply for Big Data Engineer (Spark/Scala) at Triangle?
- 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. Triangle may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Big Data Engineer (Spark/Scala) 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 Big Data Engineer (Spark/Scala) 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 Big Data Engineer (Spark/Scala) role at Triangle?
- This is a mid-level Big Data Engineer (Spark/Scala) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.