IT Data Engineer

Azura Labs Official; Jakarta Utara; On-site; IDR 180,000,000 - 320,000,000; Full time

Job summary

Azura Labs Official is seeking a senior data professional to drive data engineering, data science, and ML initiatives. You will work with Python-based tools (FastAPI, Pydantic, Pandas, Scikit-learn, PySpark) and engage with vector databases and modern data warehousing concepts.

Role involves building ETL/ELT pipelines, NLP tasks with Hugging Face and BERT-family models, and collaborating with cross-functional teams to ensure data quality and actionable insights.

Qualifications

• 3+ years in data engineering or related fields.
• Python expertise with FastAPI, Pydantic, Pandas, Scikit-learn, PySpark.
• Relational DBs: PostgreSQL, Snowflake, BigQuery.
• Vector databases: Pinecone, Milvus, Weaviate, or pgvector.
• Data warehousing concepts: star/snowflake schemas.
• NLP with Hugging Face, BERT, intents.
• ETL/ELT pipelines with Python and Airflow.
• Data processing, transformation, and optimization.
• Strong problem-solving and data quality focus.
• Clear communication with cross-functional teams.

Skills

Data engineering

Data science

ML engineering

Python

Communication

Tools

FastAPI

Pydantic

Pandas

Scikit-learn

PySpark

Job description

3+ years of experience in Data Engineering, Data Science, Machine Learning Engineering, or a related field

Strong proficiency in Python, with experience using FastAPI, Pydantic, Pandas, Scikit-learn, and PySpark

Strong experience with relational databases (PostgreSQL, Snowflake, or BigQuery)

Experience working with Vector Databases (Pinecone, Milvus, Weaviate, or pgvector)

Solid understanding of Data Warehousing (Star Schema, Snowflake Schema, Fact/Dimension Modeling, and modern data stack principles)

Hands-on experience with NLP, particularly the Hugging Face ecosystem, BERT-family models, and intent classification

Experience building and maintaining ETL/ELT pipelines using Python and Apache Airflow

Strong understanding of data processing, transformation, and pipeline optimization

Strong problem-solving and analytical skills with attention to data quality and accuracy

Good communication and collaboration skills, with the ability to work effectively with cross-functional teams.