RE

Data Engineer | Python | SQL | Airflow | dbt | Databricks | Spark | BigQuery | Snowflake | Remote India

Hiring from
India
Work type
Remote
Posted
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🚀 **Senior Data Engineer | Python | SQL | Airflow | dbt | Databricks | Spark | BigQuery | Snowflake | Remote India**

🔥 **We’re Hiring at AgileEngine!**

We’re looking for an experienced **Senior Data Engineer** to join us

📍 **Location:** Remote – India
🌎 **Time Zone:** Budapest / New York overlap

🚨 **MUST-HAVE REQUIREMENTS**

🔥 Strong hands-on Python + SQL
🔥 Production ETL/ELT pipeline development at scale
🔥 Hands-on experience with Apache Airflow and dbt
🔥 Experience with Databricks, BigQuery, Snowflake, or equivalent data platforms
🔥 Spark experience preferred
🔥 Data quality, testing, monitoring, and production reliability
🔥 Hands-on experience with AI coding assistants such as Cursor, Claude Code, GitHub Copilot, Codex, or similar tools

🎯 **CRUCIAL SKILLS**

• Python + SQL
• ETL/ELT pipeline development
• Apache Airflow
• dbt
• Databricks / Apache Spark
• BigQuery / Snowflake
• AI Coding Assistants

➕ **NICE TO HAVE**

• Go programming language
• Geospatial data, PostGIS, or BigQuery GIS
• AWS / GCP
• MCP / Agentic AI workflows
• Climate, sustainability, or physical-risk domain experience

⚠️ **IMPORTANT**

This role requires strong hands-on experience building and maintaining production-grade data pipelines. Candidates should be comfortable working with large-scale data processing, pipeline orchestration, data transformations, quality checks, monitoring, and troubleshooting.

Experience with AI coding assistants is also an important requirement.

📩 **INTERESTED? DM ME WITH THE FOLLOWING DETAILS**

1️⃣ Email ID
2️⃣ Total Professional Experience
3️⃣ Python + SQL Experience
4️⃣ Airflow + dbt Experience
5️⃣ Databricks / Spark Experience
6️⃣ BigQuery / Snowflake Experience
7️⃣ AI Coding Assistant Experience
8️⃣ Go / Geospatial Experience
9️⃣ Current CTC
🔟 Expected CTC
1️⃣1️⃣ Notice Period
1️⃣2️⃣ Current Location
1️⃣3️⃣ Updated Resume

🚨 **Please do not use LinkedIn Easy Apply.**

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