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Careers & Job Opportunities

Technical Developer

As a Decision Support System (DSS) Technical Developer, you will be responsible for designing, developing, and maintaining robust DSS solutions to support decision-making processes within our organization. You will collaborate with stakeholders, data analysts, and software engineers to implement efficient and scalable technical solutions that leverage data analytics and machine learning techniques.

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 decision-making 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.
  • Fine-tune database queries and optimize data processing pipelines to improve system performance and scalability.

Collaboration and Documentation:

  • Collaborate with cross-functional 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 problem-solving 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 non-technical 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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