16 Oct
|
Remote_WFH_INDIA
|
India
16 Oct
Remote_WFH_INDIA
India
? 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 / Recent 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.
📌 Data Engineer | Python | SQL | Airflow | dbt | Databricks | Spark | BigQuery | Snowflake | Remote India
🏢 Remote_WFH_INDIA
📍 India