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About Iris Software
Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.
Key Responsibilities
- Architect and Develop Data Pipelines: Design and implement data pipelines that can handle the 4Vs of data (Volume, Variety, Velocity, Veracity) from diverse sources.
- Implement CDC: Utilize Change Data Capture (CDC) to efficiently and reliably synchronize data between source and target systems.
- Build a Medallion Architecture: Design and implement a data platform following the Medallion Architecture (Raw, Refined, Insights) to ensure data quality, manage transformations, and support analytical needs.
- Orchestrate and Manage Workflows: Develop and manage data orchestration processes to automate data ingestion, transformation, and delivery.
- Data Strategy & Business Value: Articulate how data solutions create tangible business value, and collaborate with stakeholders to define data-driven strategies.
- Technical Proficiency: Develop and maintain data solutions using Python and PySpark.
- Modern Data Formats: Work with open data formats such as Parquet and Iceberg.
- Resilient Architecture: Implement resilient architecture patterns to ensure high availability and fault tolerance of data systems.
- Reporting & Analytics: Integrate with various reporting tools to provide business insights. (will be a plus)
Soft Skills
- Communication & Collaboration: Excellent communication skills with the ability to articulate technical concepts and business value to both technical and non-technical audiences.
- Personal Attributes: Curious and inquisitive mindset with a passion for continuous learning and problem-solving.
*Mandatory Competencies*
Data Science and Machine Learning - Data Science and Machine Learning - Databricks
DMS - Data Analysis Skills
Big Data - Big Data - Pyspark
Development Tools and Management - Development Tools and Management - CI/CD
Data Science and Machine Learning - Data Science and Machine Learning - Python
Beh - Communication and collaboration