Construct Future-Generation Data Systems
- Collaborate with diverse teams to establish and guide the roadmap and architecture of data infrastructure.
- Conceptualize, design, and develop a scalable and maintainable data pipeline encompassing data warehousing, data integration, and ETL processing.
- Create documentation related to software development, design, test cases, user training, and release.
- Lead or participate in bespoke data integration projects involving internal data systems and/or external subcontracted manufacturing and logistics systems.
- Work with SMAI/IT architectures/teams to plan and prioritize infrastructure delivery, ensuring processes and deliverables are aligned with the roadmap.
- Work alongside backend developers to define API specifications (e.g., REST services)
Ensure High-Quality Operational Data
- Set up best practices and tools for software development to uphold data integrity, perform cleanup, and validate across all pertinent data sources.
- Facilitate ongoing improvements in data quality to minimize support requirements.
- Establish centralized logging and monitoring systems equipped with logic for generating usage reports and conducting audits.
- Work in conjunction with IT to guarantee efficient processes for incident management, problem resolution, and change management.
Design and Implement Data Analytics
- Develop comprehensive business analysis that identifies challenges, opportunities, and potential solutions for the business. Project management and planning.
- Engage with extensive and intricate data sets to address a broad spectrum of business issues using various analytical and statistical methodologies.
- Resolve intricate optimization challenges utilizing optimization techniques.
- Create and standardize data science solutions within a production data pipeline.
- Ascertain statistical validity and significance, conduct statistical analysis to guide data-driven decisions, and identify anomalies, trends, and shifts.
Create Contemporary Visualization Solutions and Web Applications
- Develop web application and automate the needs for business reporting.
- Conduct interactive design sessions with customers.
- Utilize experimentation methods and design tests to enhance key user experiences.
Qualification:
A bachelor’s or master’s degree in data science, computer science, or information technology.
Minimum of 3 to 5 years of professional experience in the following areas:
- Software application (.NET or Java) and web application development (preferably Angular) and familiarity with JavaScript
- Business analysis and project management– assess processes, determine requirements, and deliver data-driven solutions to stakeholders
- Proficiency with business intelligence solutions (Nifi, Tableau, or Microsoft Power Platform)
- Comprehensive knowledge of relational databases, table and schema design, dimensional data modeling, SQL query and query optimization, and familiarity with database management systems (Microsoft SQL, HANA, or Snowflake)
- Understanding of the Agile development process
- Strong foundation in machine learning, statistical analysis, and data modeling.
- Outstanding problem-solving skills, with the ability to multitask and manage multiple projects concurrently.
- The ability to work in various areas of a development lifecycle, either as part of a team or independently.
- Self-driven, with a strong sense of ownership and the ability to work autonomously with minimal supervision.
- Effective communication skills, capable of presenting complex concepts and findings to both technical and non-technical stakeholders.
- High attention to detail, with a focus on data accuracy and quality.
- A team player who has experience working on projects with global stakeholders.
- Knowledge of the Manufacturing Execution System, SAP enterprise master data, and an understanding of logistics business acumen would be an advantage.
- Knowledge of capacity modeling, planning, and optimization would be an added advantage.
