Ubique Systems
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Kolkata · On-site · 6-9 Yrs · Oct 13
Information Technology Support Services · 1001 to 5000 Employees · London, United Kingdom
Hiring: Engineering
What employees say
+ Salary On Time Enthusiastic Approach Supportive Colleagues
− Nothing to be mentioned here.
More reviews on the company profile.
Interview experience · Frontend Developer
It was for one of their clients. I gave all the correct answers and explained the logic, but when asked to write the code in the Vue editor, I wasn’t able to do it. Also he was chewing the whole time.
Average difficulty · Pune · 10 reports
More interview insightsJob description
Overview
Hiring a permanent Data Engineer with 6–10 years of experience to build and maintain data pipelines using Apache Spark in a Financial Services environment, preferably based in Pune.
Qualifications
- Data Engineering
- Apache Spark
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Engineer (Apache Spark) at Ubique Systems?
- 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. Ubique Systems may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer (Apache Spark) 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 (Apache Spark) remote or on-site in Kolkata, West Bengal?
- This listing is marked on_site with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (Apache Spark) role at Ubique Systems?
- This is a mid-level Data Engineer (Apache Spark) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.