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    Technical Developer - Ortigas, Pasig, Pilipinas - VISAYA

    VISAYA
    VISAYA Ortigas, Pasig, Pilipinas

    Natagpuan sa: Talent PH A C2 - 1 araw ang nakalipas

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    Paglalarawan

    Key Responsibilities:

    System Design and Development:

    • Design and develop DSS solutions based on business requirements, utilizing technologies such as data warehouses, data lakes, and analytics platforms.
    • Implement algorithms and models for data analysis, predictive analytics, and optimization to enhance decisionmaking capabilities.
    • Develop ETL (Extract, Transform, Load) processes to integrate data from multiple sources into the DSS platform.

    Programming and Scripting:

    • Write clean, maintainable code in languages such as Python, R, SQL, and Java for DSS development and integration tasks.
    • Implement APIs and web services to facilitate data exchange and integration with other systems.
    • Develop custom scripts and automation tools to streamline data processing and analysis workflows.

    Data Modeling and Optimization:

    • Design and implement data models and schemas to organize and optimize data storage for efficient querying and analysis.
    • Finetune database queries and optimize data processing pipelines to improve system performance and scalability.
    • Collaboration and Documentation:
    • Collaborate with crossfunctional teams including data scientists, business analysts, and software engineers to understand requirements and design effective solutions.
    • Document technical specifications, data models, and system architecture to ensure clarity and maintainability of the DSS platform.
    • Provide technical guidance and support to team members and stakeholders throughout the development lifecycle.

    Quality Assurance and Testing:

    • Develop and execute test plans to validate the functionality, performance, and reliability of DSS solutions.
    • Identify and troubleshoot issues related to data quality, integrity, and consistency, and implement corrective measures as needed.

    Qualifications and Skills:

    • Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
    • Proven experience (X years) in designing, developing, and implementing decision support systems or business intelligence solutions.
    • Proficiency in programming languages such as Python, R, SQL, Java, and scripting languages.
    • Strong understanding of database concepts, data modeling techniques, and SQL query optimization.
    • Experience with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery) and ETL tools (e.g., Apache Airflow, Talend).
    • Familiarity with machine learning algorithms, statistical analysis, and data visualization techniques.
    • Excellent problemsolving skills and attention to detail, with the ability to analyze complex datasets and identify actionable insights.
    • Effective communication skills with the ability to collaborate with multidisciplinary teams and present technical concepts to nontechnical stakeholders.
    • Proactive mindset with a commitment to continuous learning and staying updated on emerging trends and technologies in data analytics and decision support systems.

    Preferred Qualifications:

    • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes).
    • Knowledge of distributed computing frameworks such as Apache Spark or Hadoop.
    • Certification in relevant technologies or methodologies (e.g.
    , AWS Certified Solutions Architect, Microsoft Certified:
    Azure Data Engineer Associate).

    • Experience working in agile development environments and familiarity with DevOps practices and tools.
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