ICT & Creative Services

Data Quality Processor

Position Summary:

The Data Quality Processor is responsible for ensuring the accuracy and quality of data by managing queued data cleaning tasks and performing data quality analysis. This role involves working closely with the product and TechOps teams to deliver optimal services for clients. The ideal candidate will be highly detail-oriented, organized, and skilled in analyzing and interpreting data to identify trends and make recommendations.

Job Details:

  • Work from Home
  • Monday to Friday | 10am to 7pm PH Time
  • *Following PH Holidays

Responsibilities:

  • Manage and prioritize queued data cleaning tasks to ensure timely completion.
  • Conduct data quality analysis to maintain high standards of accuracy.
  • Collaborate with product and TechOps teams to ensure seamless service delivery.
  • Gather various online data as specified by the client.
  • Analyze both historical and new data, performing variance analysis.
  • Identify trends and make actionable recommendations based on data insights.
  • Create ad hoc reports to support decision-making and client needs.

Qualifications:

  • Bachelor’s degree in any similar field.
  • Adept in research and data analysis.
  • Keen attention to detail and accuracy in work.
  • Highly organized with strong task management skills.
  • Good communication skills, both written and verbal.
  • Excellent computer skills, including proficiency with data analysis tools and software.

by Carl Trinidad

Data Engineer

Position Summary:

We are seeking a highly skilled and experienced Data Engineer to join our team. The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and systems. This role is crucial for assembling complex data sets, improving internal processes through automation, and optimizing data infrastructure for scalability and efficiency. The ideal candidate will work closely with data scientists, analysts, and other stakeholders to support data analytics, business intelligence, and AI initiatives, ensuring high data quality and integrity throughout the organization.

Job Details:

  • Monday to Friday | Night Shift
  • Work from home

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and systems.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and Azure technologies.
  • Develop and maintain data architecture and systems to support data analytics, business intelligence, and AI initiatives.
  • Collaborate with data scientists, analysts, and other stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Ensure data quality and integrity by performing data cleaning, validation, and analysis.
  • Monitor and troubleshoot data pipeline performance and reliability.

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
  • Experience with big data tools and frameworks (e.g., Hadoop, Spark, Kafka).
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Extensive experience with Azure cloud services, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
  • Familiarity with data warehousing solutions, particularly Microsoft Fabric.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Experience in data analytics and AI, including data visualization, statistical analysis, predictive modeling, and machine learning.

by Carl Trinidad

Senior Software Developer

Job Details:

  • Senior Software Developer (C# .Net with Angular, or Knockout exp)
  • Work Onsite or Work from Home Setup
  • Monday to Friday | 9 PM to 6 AM Manila time

Job Responsibilities:

  • Develop .NET web applications using C#, SQL, HTML5.0, JavaScript, SOAP, WCF Services, IIS, CSS, jQuery, and Classic ASP.
  • Apply strong knowledge and experience with Structured Query Language (SQL).
  • Design and develop software based on Agile SDLC methodology, including standups, estimation, iterative development, CI, demos, and retrospectives.
  • Contribute to building a Continuous Integration & Continuous Development for automated delivery solutions.
  • Stay abreast of new capabilities offered by open-source tools and cloud services to proactively incorporate them within the platform.
  • Build applications using a test-driven development approach and provide feedback on the work of junior developers.

Qualifications:

  • 3+ years of professional hands-on experience in developing high-performance and highly scalable software applications in an agile environment.
  • Solid understanding of C#, Microsoft Visual Studio IDE, .NET Framework, ASP.NET, AJAX, Entity Framework, HTML/HTML5, CSS, JavaScript, jQuery, AngularJS, etc.
  • Experience with web tools and technologies such as JavaScript, Bootstrap, JSON, and client-side frameworks like Angular, React, Knockout, etc.
  • Experience with Git, third-party SDK integrations, RESTful APIs, OAuth, JSON, and web services.
  • Experience migrating code through various environments, creating code branches, and resolving merge conflicts.
  • Experience with developing mobile applications based on iOS and Android platforms.
  • Fundamental knowledge of object-oriented design, data structures, problem-solving, and complexity analysis.
  • Able to communicate and actively participate in customer calls to understand requirements.
  • Strong analytical skills, ability to multitask while working independently in a fast-paced environment.
  • Ability to work under minimal supervision, adhere to deadlines, and effectively collaborate in a team environment.

by Carl Trinidad