Senior Data Engineer - Warehouse
Contract or Temp
India
Asia
4,000 -4,500 USD
Programming and Development
1754437
27-10-2026 09:26 AM
Senior Data Engineer - Warehouse
Location: Remote - must be able to work within IST time zone.
Employment: Contract - renewable 12 month
We’re looking for a Senior Data Engineer to own the design and evolution of a large-scale data warehouse using BigQuery. This is a hands-on role focused on building medallion architecture layers (bronze, silver, and gold), developing batch and streaming ETL pipelines, and making key decisions around data modelling, schema design, and query optimisation.
You’ll work closely with analytics, product, and game teams to turn business requirements into reliable, well-modelled datasets. You’ll also ensure data quality, availability, and observability across pipelines while using AI coding agents and automation tools to improve engineering efficiency.
What we’re looking for:
Location: Remote - must be able to work within IST time zone.
Employment: Contract - renewable 12 month
We’re looking for a Senior Data Engineer to own the design and evolution of a large-scale data warehouse using BigQuery. This is a hands-on role focused on building medallion architecture layers (bronze, silver, and gold), developing batch and streaming ETL pipelines, and making key decisions around data modelling, schema design, and query optimisation.
You’ll work closely with analytics, product, and game teams to turn business requirements into reliable, well-modelled datasets. You’ll also ensure data quality, availability, and observability across pipelines while using AI coding agents and automation tools to improve engineering efficiency.
What we’re looking for:
- 5+ years of data engineering experience, with strong data warehousing expertise
- Expert-level SQL and hands-on BigQuery optimisation
- Strong understanding of medallion architecture, dimensional modelling, and schema design
- Production-grade Python experience
- PySpark experience with Dataproc, Databricks, EMR, or equivalent
- Experience with Kafka-based data ingestion, ideally Confluent
- Experience building data quality validation, observability, and reconciliation into pipelines
- Strong stakeholder management and communication skills
- Daily hands-on experience with AI coding agents such as Claude Code, Cursor, Copilot, or Gemini CLI
- Experience creating reusable AI assets, such as custom commands, prompt libraries, or repository-level agent context
- Familiarity with MCP or similar integrations connecting AI agents to internal tools and data platforms
- Experience integrating LLMs into data pipelines for quality checks, anomaly detection, or text-to-SQL
- Broader GCP experience, including Pub/Sub, Cloud Run, Cloud Functions, or Cloud SQL
- Experience in gaming, fintech, or other high-volume consumer event environments
- Experience balancing data freshness, query performance, and infrastructure costs
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