01
TRCD-26-05496
ETL/Data Pipeline Engineer (Reltio, Databricks, Cloud)
Contract role for a 2–6 years data/ETL engineer to build and test ingestion and transformation pipelines integrating with Reltio. The work includes developing batch and API-based integrations using Databricks, cloud storage (AWS S3/Azure) and relevant GCP data services, implementing source-to-target mappings and data quality rules, handling multilingual/encoding and cleansing needs, and adding robust logging, reconciliation, validation, orchestration/monitoring, and performance optimization. The engineer will also support SIT/UAT defect fixes, testing, documentation, and code reviews.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 2 years and Maximum 6 years
Role overview
Why This Role Matters.
Contract role for a 2–6 years data/ETL engineer to build and test ingestion and transformation pipelines integrating with Reltio. The work includes developing batch and API-based integrations using Databricks, cloud storage (AWS S3/Azure) and relevant GCP data services, implementing source-to-target mappings and data quality rules, handling multilingual/encoding and cleansing needs, and adding robust logging, reconciliation, validation, orchestration/monitoring, and performance optimization. The engineer will also support SIT/UAT defect fixes, testing, documentation, and code reviews.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Build pipelines using Databricks, APIs, cloud storage (S3/Azure) and relevant GCP data services
03
Implement source-to-target mappings, transformation logic and business/data quality rules
04
Handle multi-language data, character encoding, standardization and data cleansing requirements
05
Implement error handling, logging, reconciliation and data validation within pipelines
06
Develop batch and API-based integrations with source systems, Reltio and downstream consumers
07
Support pipeline scheduling, orchestration, monitoring and performance optimization
08
Perform unit/integration testing, troubleshoot data issues and support SIT/UAT defect resolution
09
Maintain technical documentation, code standards and job-flow documentation and participate in code reviews
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Reltio
Required
02
Databricks
Required
03
Apache Spark
Required
04
ETL
Required
05
ELT
Required
06
Data pipelines
Required
07
REST API
Required
08
API integration
Required
09
AWS
Required
10
S3
Required
11
Azure
Required
12
Azure Storage
Required
13
GCP
Required
14
Google Cloud
Required
15
Data quality
Required
16
Data validation
Required
17
Reconciliation
Required
18
Logging
Required
19
Error handling
Required
20
Orchestration
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required 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
Preferred
Nice to Have
Experience with downstream consumer integrations (data products/analytics consumers)
Experience with job-flow documentation and code standards enforcement
Experience with multiple clouds (AWS/Azure/GCP) in the same integration landscape
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for ETL/Data Pipeline Engineer (Reltio, Databricks, Cloud)
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