Data Engineer - Databricks, Spark & Lakehouse on AWS

Salmon Group Ltd; Taguig; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

Salmon Group Ltd is seeking a skilled Data Engineer to join their data platform team in Metro Manila. In this role, you will design and build robust ETL/ELT pipelines, shaping the lakehouse architecture that drives critical data-driven decisions.

You will work closely with analytics and engineering teams, employing Databricks and Apache Spark, focusing on clean, efficient code to solve complex data challenges.

Qualifications

• Hands-on experience with Databricks and Apache Spark (PySpark and/or Scala).
• Strong proficiency in Spark SQL and performance optimization techniques.
• Experience with Delta Lake and lakehouse architectures.
• Proficiency in Python for data engineering and SQL for data transformation.
• Experience writing clean, testable, and maintainable code.
• Strong problem-solving and analytical thinking skills.
• Good communication skills and ability to collaborate with cross-functional teams.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Databricks.
• Implement batch and streaming data ingestion from multiple sources.
• Ensure pipelines are fault-tolerant and cost-optimized on AWS.
• Develop and maintain data lake / lakehouse architectures using AWS S3.
• Implement medallion architecture (Bronze / Silver / Gold layers).

Skills

Databricks

Apache Spark

Spark SQL

Python

SQL

Tools

AWS

Delta Lake

Git

Job description

Salmon Group Ltd is seeking a skilled Data Engineer to join their data platform team in Metro Manila. In this role, you will design and build robust ETL/ELT pipelines, shaping the lakehouse architecture that drives critical data-driven decisions.

You will work closely with analytics and engineering teams, employing Databricks and Apache Spark, focusing on clean, efficient code to solve complex data challenges.