BENGALURU · FULLTIME
Mid/Senior Data Engineer
Pegasus Knowledge Solutions, Inc.
Bengaluru · onsite · Posted 51d ago
Sourced from
Not disclosed5–7 yrsfulltimeBengaluru
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.8s
- Found the form on Foundit · 8 questions to answer1.6s
- Decided the answers for all of them2.1s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
We're transforming our customer support data from static, disconnected reports into a live, AI-powered system. We're looking for an experienced Data Engineer to build the pipelines, storage, and logic that power our new AI agents — turning messy customer chats and tickets into clean, structured information our AI can reliably use.
Job Responsibilities
- Ingest and clean large volumes of unstructured support data from Bliss, Salesforce, Sprinklr, and JIRA
- Design storage and retrieval systems (including vector databases) that give our AI accurate, relevant context
- Build a centralized, reliable metrics layer for AI-driven analytics
- Build robust, monitored, failure-resistant pipelines — no fire drills
- Partner with ops, product, and engineering; push back on poor data practices at the source
Required Skills
- 5+ years in data engineering with big data tools (Hadoop, Hudi, Spark, Presto, Pinot, Flink, Kafka) and cloud data warehouses
- Strong hands-on Python and PySpark
- Proven use of AI tools (e.g., Claude, Codex) to accelerate development — automating checks, parsing messy text, building data logic layers
- Direct experience with vector databases (Pinecone, Milvus, Weaviate, pgvector) and AI-feeding data pipelines
- Bonus: experience building metric or semantic layers
If this opportunity aligns with your experience and interests, I'd be happy to discuss it further. Please send your updated resume to [HIDDEN TEXT].
Sourced from foundit
Section · 02
Skills
Apache SparkclaudeApache Kafkaapache flinkWeaviatevector databasespgvectorPrestoApache HadoopCodexcloud data warehousesHudiPysparkPythonPinotPinecone DBMilvusDBAI Tools