Ubique Systems
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Kolkata · On-site · 1-3 Yrs · Oct 8
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
Contract role for a 2–6 years data/ETL engineer to build and test ingestion and transformation pipelines integrating with Reltio.
Responsibilities
- Develop and test ETL/data pipelines for ingestion, transformation and movement of data to/from Reltio
- Build pipelines using Databricks, APIs, cloud storage (S3/Azure) and relevant GCP data services
- Implement source-to-target mappings, transformation logic and business/data quality rules
- Handle multi-language data, character encoding, standardization and data cleansing requirements
- Implement error handling, logging, reconciliation and data validation within pipelines
- Develop batch and API-based integrations with source systems, Reltio and downstream consumers
- Support pipeline scheduling, orchestration, monitoring and performance optimization
- Perform unit/integration testing, troubleshoot data issues and support SIT/UAT defect resolution
- Maintain technical documentation, code standards and job-flow documentation and participate in code reviews
Qualifications
- ETL/data pipeline development (ingestion, transformation, movement)
- Databricks (Spark-based pipeline development)
- Reltio integration (ingestion to/from Reltio)
- API-based integrations (REST APIs)
- Cloud storage: AWS S3 and/or Azure Storage
- GCP data services (unspecified; experience with GCP data platform services)
- Source-to-target mapping and transformation logic implementation
- Data quality rules, validation, reconciliation
- Error handling and logging in data pipelines
- Data cleansing/standardization; handling multi-language data and character encoding
- Pipeline scheduling/orchestration/monitoring
- Unit and integration testing; troubleshooting data issues; SIT/UAT defect resolution
- Performance optimization for pipelines
- Technical documentation and code reviews
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Job application FAQ
Last updated 30 October 2026
- How do I apply for ETL/Data Pipeline Engineer (Reltio, Databricks, Cloud) 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 ETL/Data Pipeline Engineer (Reltio, Databricks, Cloud) 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 ETL/Data Pipeline Engineer (Reltio, Databricks, Cloud) 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 ETL/Data Pipeline Engineer (Reltio, Databricks, Cloud) role at Ubique Systems?
- This is a mid-level ETL/Data Pipeline Engineer (Reltio, Databricks, Cloud) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.