Role - Data Engineer

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
- Strong problem‑solving mindset
- Business‑aware (understands how CS works)

📌 Data Engineer (Bengaluru)
🏢 Asian Technology Solutions Sdn Bhd
📍 Bengaluru