Primary Responsibilities
Ingest & clean messy customer support data From Bliss, Salesforce, Sprinklr, JIRA, etc.
Fix fragmentation & missing metadata Understand why data doesn't align across systems.
Build reliable ETL/ELT pipelines Zero‑downtime, monitored, failure‑proof.
Work with operations teams Push back when source logging is broken.
Build business logic for downstream datasets Understand how CS operations work.

Required Competencies
Robust SQL + Python/PySpark
Big data tools: Hadoop, Hive, Spark, Kafka (basic familiarity is enough).
Comfort with messy, unstructured data
Understanding of business operations (Customer Support)
Ability to ask the right questions (Why is this field missing, Why does this dataset not align)
Understanding of vector databases is nice to have.

Soft Skills
Curious, proactive, independent
Comfortable with monotonous but critical data cleanup
Solid problem‑solving mindset
Business‑aware (understands how CS works)

📌 Data Engineer Bengaluru
🏢 Fastalent Technologies India Private
📍 Bengaluru