Data Engineer

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

• Strong 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)