Posted on: 29/06/2026
Sigma Allied Services is hiring an experienced Data Engineer (Innovation) for a leading client in the Airline Industry.
Client : Direct Payroll (IT Service Company - MNC).
Job Title : Data Engineer (Day Shift / Full time / Hybrid).
Total Experience : 6+ years.
Must have Experience :
- Language : Strong Data Engineering - designing and maintaining Python, Java, or Scala.
- Framework : Apache Spark or similar.
- DataBase : SQL.
- Cloud : AWS, Azure, or Google Cloud.
- Preferred : Experience in the Airline Industry is highly preferred.
Location :
- Onsite Abu Dhabi.
- Offshore resources can also be considered.
Notice : Immediate.
Key Responsibilities :
- Design, develop, and maintain data pipelines to support AI initiatives.
- Collaborate with Data Scientists to ensure data availability and quality.
- Build data processing and transformation pipelines for analytics and machine learning.
- Monitor and optimize data pipelines for performance, scalability, and reliability.
- Contribute to technical design and low-level architecture aligned with business requirements.
- Work in Agile teams to analyse and decompose user stories into implementation tasks.
- Identify and recommend new tools, frameworks, and best practices.
- Own the end-to-end quality of assigned deliverables.
- Communicate effectively with cross-functional teams throughout the project lifecycle.
Required Skills :
- Strong experience in Data Engineering.
- Proficiency in Python, Java, or Scala.
- Hands-on experience with Apache Spark or similar data processing frameworks.
- Strong SQL and database knowledge.
- Experience designing and maintaining scalable data pipelines.
- Good understanding of AI/ML data preparation.
- Experience with AWS, Azure, or Google Cloud is an added advantage.
- Experience in the Airline Industry is highly preferred.
Education :
- Bachelor's Degree (or higher) in Computer Science, Engineering, or a related discipline.
Please mention your Current CTC, Expected Salary, Notice Period, Current Location, and Total Experience while applying.
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Posted in
Data Analytics & BI
Functional Area
Data Science
Job Code
1649465