Data Quality Developer

1 week ago

Makati City, National Capital Region, Philippines Kayana Solutions Inc. Full time

Who We Are:

At Kayana, we're shaping the future of technology by unlocking opportunities and driving progress at an accelerated pace. We push boundaries, expand horizons, and build on our legacy—supported by some of the country's most esteemed conglomerates and powered by the synergies of the MVP Group.

Our mission is clear: to create abundant opportunities and pave the way for generational progress for Filipinos. Harnessing the power of data and technology, we are leading the charge in crafting a new world where individuals and businesses are seamlessly connected to a digital universe, enabling them to do more and be more.

We're turning the impossible into possible. Sa Káyana, kaya na.

Job Summary:

The Data Quality Developer supports the Data Quality Analyst by creating reports, dashboards and extracts that enable monitoring and analysis of data quality. This role ensures stakeholders have timely insights and tools to identify and resolve data quality issues.

Key Responsibilities:

  • Develop and maintain reports, dashboards, and data extracts to support data quality (DQ)analysis.
  • Support the Data Quality Analyst in data extraction and investigation activities.
  • Leverage BI tools to visualize data quality metrics.
  • Automate repetitive reporting processes to improve efficiency.
  • Collaborate with Analysts and Leads to design effective monitoring solutions.

Qualifications:

  • Background in Data Management or BI/analytics development.
  • 3-4 years of hands-on experience with Databricks, SQL, and BI tools (Power BI, Tableau, etc.)
  • Familiarity with ETL tools and Big Data technologies and environments.
  • Solid understanding data quality concepts and practices.
  • Detail-oriented with a strong technical foundation.
  • Strong demonstration skills and capable of conducting requirement-gathering sessions with clients.

Education / Certifications:

  • Bachelor's degree in Industrial Engineering or Information Technology

Preferred Skills:

  • Strong data visualization and reporting skills.
  • Good communication and teamwork abilities.
  • Problem-solving and process automation skills.

Key Performance Indicators:

  • Metrics on Data Visualization Lifecycle Management

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