Senior Data Engineer

Company: Red Elk

Website: Visit Website

Business Type: Startup

Company Type: Product & Service

Business Model: B2B2C

Funding Stage: Bootstrapped

Industry: Gaming

Salary Range: ₹ 25-35 Lacs PA

Skills

Job Description:

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)

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.

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)
• Inclusive team culture and exciting tech community engagement.