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Designs and builds agentic AI systems that reason, remember, and act autonomously across data pipelines and applications. Day-to-day work centers on RAG pipelines, memory management, and MCP integration using Python, SQL, NLP models, and vector databases.
Designs and builds agentic LLM systems (multi-step reasoning agents, RAG pipelines, MCP integrations) while also handling data engineering work such as ETL pipelines, data warehouse modeling, and ML/NLP tasks. Core stack: Python (FastAPI, PySpark, Airflow), LangChain/LangGraph, vector databases, PostgreSQL/Snowflake/BigQuery, and Hugging Face/BERT models.
Builds and maintains reliable ETL/ELT data pipelines, integrating data from multiple sources into warehouses or lakes while ensuring data quality and performance. Core stack includes SQL, Python, orchestration tools like Airflow/dbt/Dagster, and warehouses like BigQuery, Snowflake, Redshift, or PostgreSQL.
Data Engineer building and maintaining ETL/ELT pipelines for FMCG projects: integrating multi-source data into warehouses/data lakes, writing SQL, ensuring data quality, and optimizing pipeline performance using Python and tools like Airflow, dbt, or Dagster. Hybrid role based in Indonesia.
Azura Labs is hiring a Data Engineer in Indonesia (hybrid) to build and maintain ETL/ELT pipelines, optimize SQL queries, and ensure data quality across multiple sources using cloud data warehouses and orchestration tools.
Azura Labs is seeking a Backend Engineer to build and maintain scalable, secure APIs powering digital products. You will contribute to robust backend services, collaborate with frontend, product managers, and…
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