System Analyst (Azure/Databricks)

Private Advertiser; Metro Manila; On-site; PHP 800,000 - 1,400,000; Full time

Job summary

Private Advertiser in the Philippines seeks a data platforms professional with hands-on Azure and Databricks experience to lead enterprise data solutions. The role requires strong capabilities in data integration, migration, ETL/ELT, APIs, and data validation across cloud infrastructures.

Candidates should have 5+ years in IT development and system analysis, experience with Agile and Waterfall, and solid SQL/Python/Java skills.

Qualifications

• At least 2 years of experience in Data Platforms solutions, preferably Azure & Databricks.
• Minimum 5 years of experience in IT development and system analysis.
• Has worked with Agile and Waterfall delivery methods.
• Hands-on experience with Microsoft Azure technology stack or similar Cloud solutions.
• Hands-on experience in Data and Analytics projects involving data integration, data migration, ETL/ELT processes, APIs, system interfaces, Microsoft Azure Services and data validation activities.
• Experience supporting testing activities, including SIT, UAT, and E2E validation.
• Proven experience in data modeling, including conceptual, logical, and physical data model design.
• Programming Languages: Python, SQL, Java are an advantage.
• Analytical Thinking: strong problem solving and decision making.
• Technical and Business Communication: able to converse with developers and business partners.
• Technical Competency: solid understanding of solution development methodologies and SDLC.
• Continuous Learning & Improvement: improve development times and cost efficiency.
• Troubleshooting: resolve data quality, integration and performance issues.

Skills

Azure

Databricks

Data platforms

Agile & Waterfall

Python

SQL

Java

ETL/ELT

Data modeling

SIT/UAT/E2E testing

APIs & data interfaces

IDMC

Cloud data integration

SDLC

Troubleshooting

Technical/Business communication

Tools

IDMC

Cloud Data Integration

Cloud Application Integration

Job description

Requirements:

• At least 2 years of experience in Data Platforms solutions, tools, and platforms preferably Azure & Databricks

• Minimum 5 years of experience in IT development and system analysis.

• Has worked with Agile and Waterfall delivery methods.

• Hands-on experience with Microsoft Azure technology stack or similar Cloud solutions

• Hands-on experience in Data and Analytics projects involving data integration, data migration, ETL/ELT processes, APIs, system interfaces, Microsoft Azure Services and data validation activities.

• Experience supporting testing activities, including functional testing, system integration testing (SIT), user acceptance testing (UAT), and end-to-end (E2E) validation.

• Proven experience in data modeling, including conceptual, logical, and physical data model design to support enterprise data management initiatives

• Programming Languages: Experience and knowledge in coding in Python, SQL, Java is an advantage.

• Analytical Thinking: Strong solution definition, analytical and problem-solving skills, with the ability to assess complex situations and make sound decisions under pressure

• Technical and Business Communication: Ability to communicate both in technical language with developers and business language with business partners.

• Technical Competency: Excellent understanding of solution development methodologies and application development with high level understanding on financial products and processes. Hands on experience (implemented and completed at least 2 projects, end to end) on

• Informatica Data Management Cloud (IDMC), Cloud Data Integration and Cloud Application Integration

• Enterprise ETL (Extract Transform, Load)

• SQL Proficiency. Strong knowledge of SQL for querying and manipulating databases.

• Working knowledge of Microsoft Azure cloud technologies is an advantage

• Knowledge on SDLC: Knowledge, understanding and experience of software development life cycle, agile methods and processes, and capability to support project and delivery teams.

• Continuous Learning & Improvement: Look actively for opportunities to shorten development times, improve skills of the team and improve cost efficiency of application development activities.

• Troubleshooting and Problem Solver: Ability to identify and resolve issues related to data quality, integration, and platform performance