Azure Data Platform Analyst (Databricks)

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

Job summary

SLI Consulting Inc. in Makati, Philippines is seeking an Enterprise Data Platform Systems Analyst / Data Analyst to analyze and support data platform solutions using Microsoft Azure and Databricks.

Translate business requirements into functional data solutions and collaborate with business units to ensure governance and quality. The role requires at least 5 years in IT development and system analysis, 2+ years in data platforms, and hands-on cloud experience.

Qualifications

• 2+ years in Data Platforms solutions, Azure & Databricks.
• Minimum 5 years of IT development and system analysis.
• Experience with Agile and Waterfall delivery methods.
• Hands-on Azure technology stack.
• Data and Analytics projects involving data integration, data migration, ETL/ELT, APIs, system interfaces, Azure services and data validation.
• Experience supporting testing activities: SIT, UAT, E2E validation.
• Proven data modeling: conceptual, logical, physical models.

Responsibilities

• Analyze and support Enterprise Data Platform solutions using Microsoft Azure and Databricks.
• Collaborate with Business Users, Data Stewards, Developers, Vendors, and Project Managers.
• Perform requirements analysis, data modeling, and integration analysis.
• Coordinate deployment, ensure data quality, and provide production support.
• Drive Customer 360 and other data initiatives and ensure governance.

Skills

Python

SQL

Java

Azure

Databricks

ETL/ELT

APIs

Data modeling

SDLC

Agile

Waterfall

Troubleshooting

Tools

Azure stack

Databricks

IDMC

Job description

SLI Consulting Inc. in Makati, Philippines is seeking an Enterprise Data Platform Systems Analyst / Data Analyst to analyze and support data platform solutions using Microsoft Azure and Databricks.

Translate business requirements into functional data solutions and collaborate with business units to ensure governance and quality. The role requires at least 5 years in IT development and system analysis, 2+ years in data platforms, and hands-on cloud experience.