Posted:None|
Platform:
Hybrid
Full Time
Data Pipeline Development (scalable ETL/ELT pipelines)
Big Data Infrastructure (Spark, Flink, Hadoop, Kafka)
Programming (Python or Scala)
Data Processing Frameworks (Spark, Hadoop, or Flink, Iceberg)
Cloud Data Platforms (AWS, Azure, or GCP)
SQL and database technologies (e.g., Oracle, PostgreSQL)
NoSQL database technologies (e.g., Mongo, Couch)
Data Orchestration (Airflow or Prefect)
Containerization (Docker, Kubernetes)
Large-scale document processing (Deep learning, Spacy, NLTK, LLMs, Embedding Technique)
Agentic RAG framework (LangChain, CrewAI, Google ADK, Vector Databases)
Distributed caching (Hazelcast or Redis or Elsatic Search )
Distributed, multi-tier application experience
High-performance, scalable application experience
1. Strong communication and stakeholder management
2. Analytical mindset with attention to data accuracy and integrity
3) Ability to work in agile, cross teams
Xoriant
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