Senior Data Engineer (Production Support)
Experience:

6–8 Years
Location:

Hybrid- Bangalore (3days work from office)
Notice Period:

Immediate to 15 days
Compensation:

₹33 LPA
Notice period: Immediate to 30 days Max

Key Responsibilities
Pipeline Support:

Monitor, triage, and debug production data pipelines (

Airflow, dbt, PySpark, Snowflake

) to ensure high availability and meet SLA targets.
Incident Management:

Perform deep-dive Root Cause Analysis (RCA) on failures and implement permanent fixes rather than short-term workarounds.
Performance Tuning:

Optimize Snowflake warehouses, dbt models, and SQL queries for speed, reliability, and cost-efficiency.
Observability & Guardrails:

Improve data quality checks, alerting rules, and write explicit runbooks to prevent recurring incidents.
Stakeholder Support:

Resolve ad-hoc data requests, manage pipeline enhancements,



and provide timely transparent updates during critical incidents.

Tech Stack & Core Qualifications
Core Stack:

Hands-on expertise with

Snowflake, dbt, PySpark, and Apache Airflow

.
Support Fundamentals:

5+ years in data engineering with direct experience in production support, incident triage, backfills, and DAG failure resolution.
Data Observability:

Solid grasp of monitoring, data quality frameworks, and root-cause analysis.
Nice-to-Have:

Hands-on experience with

PagerDuty for alerting, on-call schedules, and escalation flows.
Soft Skills:

Excellent verbal and written English with transparent incident-communication skills for both technical and non-technical stakeholders.

📌 Senior Data Engineer Production Support Karnataka
🏢 RapidBrains
📍 Karnataka