Data Engineer - ETL Pipelines, SQL & Data Warehousing (Hybrid)

Azura Labs; Jakarta Selatan; Hybrid; IDR 200,000,000 - 400,000,000; Full time

Job summary

Azura Labs is seeking a Data Engineer to advance data pipelines and warehousing in a collaborative hybrid setting. You will develop ETL/ELT processes, optimize SQL queries, and ensure data quality across multiple sources.

The role requires 3–5 years of experience, strong SQL and Python skills, and familiarity with cloud data warehouses and orchestration tools. A hybrid work model is offered with cross-functional collaboration.

Qualifications

• 3–5 years of experience as a Data Engineer or in a similar role.
• Strong SQL skills and a solid understanding of basic data modeling.
• Hands‑on experience using Python for data processing.
• Experience with ETL/ELT tools or workflow orchestration platforms such as Airflow, dbt, Dagster, or similar tools.
• Familiarity with data warehouses such as BigQuery, Snowflake, Redshift, or PostgreSQL.
• Understanding of data quality, partitioning, indexing, and pipeline monitoring.

Responsibilities

• Build and maintain reliable ETL/ELT pipelines.
• Process and integrate data from multiple sources into data warehouses or data lakes.
• Write efficient and maintainable SQL queries.
• Ensure data quality, consistency, and validity across data pipelines.
• Collaborate with Data Analysts, Data Scientists, Product, and Engineering teams.
• Monitor, troubleshoot, and optimize pipeline performance.

Skills

SQL

Python

ETL/ELT

Data modeling

Airflow

dbt

Dagster

BigQuery

Snowflake

Redshift

PostgreSQL

Data quality

Education

S1

Tools

Airflow

dbt

Dagster

BigQuery

Snowflake

Redshift

PostgreSQL

Job description

Azura Labs is seeking a Data Engineer to advance data pipelines and warehousing in a collaborative hybrid setting. You will develop ETL/ELT processes, optimize SQL queries, and ensure data quality across multiple sources.

The role requires 3–5 years of experience, strong SQL and Python skills, and familiarity with cloud data warehouses and orchestration tools. A hybrid work model is offered with cross-functional collaboration.