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IT Global Sales Manager/BDM,Sourcing & Recruitment Lead, Lead Specialist !
Title
Data Engineer-II
Job type
Work From Home
Title
Data Engineer-II
Job type
Work From Home
Skills
AI/ML Experience (Supporting Pipelines, Data Preparation For ML), Data Modelling (Star Schema, Normalized, Denormalized Models), SQL (Advanced/Complex Queries), ETL Development (Pipeline Design, SLA Monitoring),, Snowflake, BigQuery, Python, Java, AWS S3, AWS Lambda, Postgres, NoSQL Databases, Linux (Command Line & Admin Basics),, Scala, Data Mesh Concepts (Lineage, Quality, Observability), Feature Store Knowledge, ML Pipeline Support (MLOps, Data Delivery For Models), Data Governance (Policies, Standards, Quality Frameworks)
Experience
4 to 8 Years
Dead Line
19/05/2025
Location
Portugal
Job Description (with Mandatory AI/ML + Data Modelling)
Title: Data Engineer II
Location: Remote (India or Portugal only)
Type: Full-Time | Remote
Level: Mid-Level (4+ Years Experience Required)
About the Role
Join the world’s top travel platform as a Data Engineer II and help scale next-gen data platforms supporting AI/ML and analytics. You will create efficient, reusable data models and pipelines, enabling rapid and reliable insight generation across the company.
Mandatory Note:Candidates without AI/ML exposure & solid data modelling experience will be rejected at screening stage.
Key Responsibilities
* Design and implement scalable ETL pipelines using Snowflake, BigQuery, and Python/Java.
* Build strong, flexible data models to power machine learning, analytics, and CRM tools.
* Support AI/ML teams with clean, real-time, and batch-ready data.
* Ensure high data quality, lineage, and observability standards.
* Partner closely with business and technical teams across departments.
Must-Have Qualifications
* 4+ years in data engineering or backend software development.
* Strong AI/ML project experience (data prep, model support, or deployment).
* Solid hands-on data modelling experience (star schema, normalized, denormalized models).
* Advanced SQL and cloud DWH (Snowflake, BigQuery) proficiency.
* Python and/or Java, with AWS (S3, Lambda) experience.
* Familiar with Postgres, NoSQL, and Linux environments.
Good-to-Have
* Data mesh or data governance experience.
* Familiarity with feature stores or ML observability tools.
Perks
* 100% remote (India or Portugal only).
* Sponsored certifications, English lessons, and conference access.
* Inclusive team culture and exciting tech community engagement.
Candidate Quality Checklist (AI/ML + Data Modelling Mandatory)
Requirement/Criteria
Details/Description
Candidate Status (Yes/No/Comments)
Location
Must be located in India or Portugal
Experience Level
4+ years in data engineering or software development
Big Data Technologies
Experience with Snowflake, Databricks
SQL Proficiency
Strong SQL skills; experience writing complex queries on large datasets
ETL Development
Proven ability to design and build scalable ETL pipelines; define SLA and performance metrics
AWS Experience
Hands-on experience with AWS services (S3, Lambda)
Programming Skills
Python and/or Java (Scala is a plus)
Database Experience
Familiarity with both relational (Postgres) and NoSQL databases
Linux Proficiency
Strong command line skills; basic system administration knowledge
Cloud Data Warehouse
Understanding of cloud DWH concepts (Snowflake, BigQuery)
AI/ML Experience (Mandatory)
Must have real-world experience in AI/ML projects, tools, or data pipeline support for ML models
Data Modelling (Mandatory)
Strong experience in designing scalable, reusable data models for analytics and ML
Data Mesh Philosophy (Bonus)
Experience or awareness of data mesh practices (lineage, quality, observability)
Collaboration
Experience working cross-functionally with data science, analytics, and CRM teams
Soft Skills
Strong communication, documentation skills, problem-solving, accountability
Remote Readiness
Must be comfortable and experienced with remote work setups
Interview Availability
Ready for English check, technical interview, client interview
Joining Timeline
Available to join immediately or within 30 days
Interview Flexibility
virtual interviews (Laptop Must)
Relocation (if needed)
Willing to relocate if required
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Information Technology
* Industries
IT Services and IT Consulting
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