Data Engineer (Databricks) - Hybrid

Recruitify_HR; Taguig; On-site; PHP 900,000 - 2,100,000; Full time

Job summary

Recruitify_HR seeks a Data Engineer SME to lead data engineering initiatives on the unified data platform. You will provide technical guidance to the data engineering team, drive the Azure Databricks migration, and collaborate with architects, business stakeholders, and IT security to shape the platform's future direction.

The role prioritizes data governance, privacy, and end-to-end solution design, with responsibilities including defining the roadmap, upskilling the team, and ensuring

Qualifications

• 7+ years of data engineering experience.
• 4+ years hands-on with Databricks.
• Advanced Azure and Databricks expertise.

Responsibilities

• Lead data engineering initiatives and ensure quality of requirements.
• Lead migration to Azure Databricks and guide the team.
• Collaborate with BAs and Architects for solution design; ensure architecture standards.
• Define future roadmap of the unified data platform with governance and privacy.
• Provide upskilling plans for Azure and Databricks.
• Resolve production incidents within SLA.

Skills

Python

ETL

data architecture

CI/CD

data governance

Tools

Azure Databricks

Azure

Kafka

RabbitMQ

SOAP/REST APIs

Oracle GoldenGate

Job description

Role Overview

The Data Engineer SME leads the delivery of data engineering initiatives and serves as the technical subject-matter expert for the unified data platform. This role provides technical guidance to the data engineering team, drives Azure Databricks migration and capability building, and collaborates with architects, business stakeholders, and IT security to shape the future direction of the data platform.

Role Overview

The Data Engineer SME leads the delivery of data engineering initiatives and serves as the technical subject-matter expert for the unified data platform. This role provides technical guidance to the data engineering team, drives Azure Databricks migration and capability building, and collaborates with architects, business stakeholders, and IT security to shape the future direction of the data platform.

Key Responsibilities

• Act as Lead Data Engineer for major initiatives, ensuring technical requirements are delivered with quality.
• Lead the migration to Azure Databricks and provide technical guidance across the data engineering team.
• Collaborate with Business Analysts and Architects for solution design; ensure end-to-end integrated solutions conform to architecture standards.
• Work with stakeholders to establish the future roadmap of the unified data platform aligned to business needs, data governance, and data privacy.
• Provide upskilling plans to elevate team capability in Azure and Databricks.
• Ensure production incidents are resolved within SLA.

Qualifications

• Minimum 7 years of experience in data engineering is required.
• Minimum 4 years of hands-on experience with Databricks is required.
• Advanced capability in Azure and Databricks; strong knowledge of Python, ETL, and data architecture.
• Experience with Data Lake, SQL, messaging tools (Kafka, RabbitMQ), and API integration (SOAP/REST).
• Familiarity with Data Governance and CI/CD practices.
• Experience with DWH or Oracle GoldenGate is an advantage.