About the Role
Senior Data Engineer (Professional Services)
Location: India (100% Remote) Experience: 4–6 Years Work Dynamics: High-Growth Startup | Global Teams | Flexible Hours
1. Role Summary
Technical lead for global enterprise data projects. High-velocity startup environment. Requires a builder who automates everything with AI. Direct client-facing engagement. Translates business problems into robust technical designs.
2. Tech Stack
Orchestration: Apache Airflow (Expert: multi-tenant DAGs, SLAs, monitoring).
Data Platforms: Snowflake (Ingestion, performance tuning) & DuckDB (Local analytics/prototyping).
Coding: Advanced Python (ETL frameworks) & Expert SQL (Data modeling fundamentals).
AI Productivity: Proficiency with LLMs/Copilots for code, docs, and self-healing pipelines.
3. Key Responsibilities
Design and ship end-to-end ELT/ETL pipelines for enterprise customers.
Automate SQL generation and data quality tasks using AI.
Lead technical workshops ...
Location: India (100% Remote) Experience: 4–6 Years Work Dynamics: High-Growth Startup | Global Teams | Flexible Hours
1. Role Summary
Technical lead for global enterprise data projects. High-velocity startup environment. Requires a builder who automates everything with AI. Direct client-facing engagement. Translates business problems into robust technical designs.
2. Tech Stack
Orchestration: Apache Airflow (Expert: multi-tenant DAGs, SLAs, monitoring).
Data Platforms: Snowflake (Ingestion, performance tuning) & DuckDB (Local analytics/prototyping).
Coding: Advanced Python (ETL frameworks) & Expert SQL (Data modeling fundamentals).
AI Productivity: Proficiency with LLMs/Copilots for code, docs, and self-healing pipelines.
3. Key Responsibilities
Design and ship end-to-end ELT/ETL pipelines for enterprise customers.
Automate SQL generation and data quality tasks using AI.
Lead technical workshops ...
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