Senior Data Engineer

Senior Data Engineer (Professional Services)

Location: India (100% Remote) Experience: 46 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 and present solution designs to US/EMEA stakeholders.
• Develop reusable Python frameworks to adapt to varied customer landscapes.
• Manage Agile delivery, sprint planning, and production "Hypercare" phases.
• Create consulting assets like accelerators and best practice templates.

4. Required Skills

• 57 years in Data Engineering or Technical Consulting.
• Deep knowledge of Snowflake, DuckDB, and Airflow orchestration.
• Expertise in modern data modeling (Star Schema, Kimball).
• Fluent English for presenting trade-offs to international clients.
• Ability to troubleshoot and deliver results with ambiguous requirements.

5. Ideal Mindset & Personality

• AI-First: Ambitious enough to automate manual tasks immediately.
• Global Flexibility: Willing to shift hours for US/EMEA team syncs.
• Creative Laziness: Hates repetitive work; builds tools to avoid it.
• Startup DNA: High ownership and ability to operate with partial information.
• Execution Focused: Balances speed, quality, and client expectations seamlessly.