Data Engineer: End-to-End ETL on Azure & Databricks

SLI Consulting Inc.; Philippines; On-site; PHP 900,000 - 1,400,000; Full time

Job summary

SLI Consulting Inc. seeks skilled Data Engineers to join an enterprise data platform initiative. You will build and optimize scalable data pipelines, ensuring platform stability and enabling analytics.

Ideal candidates have hands-on experience with end-to-end data projects, ETL pipelines, Databricks and Azure, plus Python/PySpark and SQL, with a solid grounding in data warehouse concepts and query optimization.

Qualifications

• At least one end-to-end data project experience is required.
• Hands-on ETL pipeline development is the primary screening criterion.
• Experience with Databricks and Azure is preferred; certification is a bonus.
• Solid Python and PySpark skills.
• Proficiency in SQL across MS SQL, MySQL and PostgreSQL.
• Actual data engineering experience, not just support or operations.
• Strong understanding of data warehouse and data mart concepts.
• Experience with query optimization techniques.

Responsibilities

• Build and optimize scalable data pipelines for enterprise platforms.
• Ensure platform stability and support analytics and BI initiatives.
• Collaborate with data teams to improve data models and performance.

Skills

End-to-end data projects

ETL pipelines

Python

PySpark

SQL

Data warehousing

Query optimization

Collaboration & communication

Tools

Databricks

Microsoft Azure

SQL databases

Job description

SLI Consulting Inc. seeks skilled Data Engineers to join an enterprise data platform initiative. You will build and optimize scalable data pipelines, ensuring platform stability and enabling analytics.

Ideal candidates have hands-on experience with end-to-end data projects, ETL pipelines, Databricks and Azure, plus Python/PySpark and SQL, with a solid grounding in data warehouse concepts and query optimization.