Data Engineer - Databricks & Azure Expert

SLI Consulting Inc.; Philippines; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

SLI Consulting Inc. is seeking a data engineer to design and optimize data storage solutions, ingestion pipelines, and transformations. You will work across teams to identify data needs and implement scalable analytics patterns.

The role emphasizes end-to-end data projects, Databricks and Azure expertise, and strong SQL/Python (PySpark) skills, with a focus on data warehousing concepts and performance tuning.

Qualifications

• Experience on data projects, including at least one end-to-end project.
• Databricks and Azure certifications preferred.
• Strong SQL and Python (PySpark) skills.
• Knowledge of Data Warehouse/Data Mart concepts and query optimization techniques.

Responsibilities

• Designs and builds data storage solutions including database objects and data structures, data ingestion pipelines.
• Develops data transformation, cleansing, and preparation processes.
• Performs job optimization/automation via code enhancement, configuration, or new tools.
• Performs unit testing and system integration testing.
• Maintains and monitors platform stability and performance of EDP, executes updates and patches.
• Ensures governance, security policies, and SDLC compliance.
• Collaborates with cross-functional teams to identify data needs and improvement opportunities.
• Develops and maintains documentation for data engineering and analytics processes.
• Performs Proof of Concept on new integration and analytics patterns and solutions.
• Contributes to best practices and standards for the data engineering team.

Skills

Data projects

Databricks

Azure

SQL

Python

PySpark

Data Warehouse

Query optimization

Job description

SLI Consulting Inc. is seeking a data engineer to design and optimize data storage solutions, ingestion pipelines, and transformations. You will work across teams to identify data needs and implement scalable analytics patterns.

The role emphasizes end-to-end data projects, Databricks and Azure expertise, and strong SQL/Python (PySpark) skills, with a focus on data warehousing concepts and performance tuning.