Data Engineer L3: Azure Databricks & Data Pipelines

Sidglobal; Pasig; Presencial; PHP 600.000 - 1.200.000; Jornada completa

Descripción de la vacante

Sidglobal in Pasig, Philippines is seeking a Data Engineer to design and implement robust data storage solutions and ingestion pipelines. The role requires hands-on experience with SQL, Python (PySpark), and data warehousing concepts to optimize data flows and performance.

The candidate will collaborate with cross-functional teams, develop documentation, and contribute to best practices in data engineering within a governance-aware environment.

Formación

• End-to-end data engineering project experience (1+ project).
• Proficient in SQL and Python (PySpark).
• Experience with Databricks and Azure; certifications preferred.
• Knowledge of Data Warehouse/Data Mart concepts and query tuning.
• Ability to design data storage solutions and ingestion pipelines.
• Familiar with SDLC governance, security policies, and testing.

Responsabilidades

• Designs and builds data storage solutions including database objects and data structures.
• Develops data transformation, cleansing, and preparation processes.
• Performs job optimization/automation via code, configuration, or new tools.
• Performs unit testing and system integration testing.
• Maintains and monitors platform stability and performance; apply updates and patches.
• Ensures governance and security policies and SDLC adherence.
• Collaborates with cross-functional teams to identify data needs.
• Develops and maintains documentation for data engineering and analytics processes.
• Performs PoC on new integration and analytic patterns.
• Contributes to data engineering best practices and standards.

Conocimientos

SQL

Python (PySpark)

Databricks

Azure

Data warehousing

Data modelling

SDLC governance

Unit testing

Documentation

Data pipelines

Data ingestion pipelines

Automation

Herramientas

Databricks

Azure

Descripción del empleo

Sidglobal in Pasig, Philippines is seeking a Data Engineer to design and implement robust data storage solutions and ingestion pipelines. The role requires hands-on experience with SQL, Python (PySpark), and data warehousing concepts to optimize data flows and performance.

The candidate will collaborate with cross-functional teams, develop documentation, and contribute to best practices in data engineering within a governance-aware environment.