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Role Description:
- Collaborate with a team of data engineers, seeking and providing technical guidance, mentorship, and support
- Act as a technical point of contact for clients and stakeholders, providing updates and addressing any data related technical inquiries or concerns
- Design, develop, and maintain efficient and robust data pipelines, ETL processes, and data workflows
- Develop and maintain data models and schema designs to support data storage and retrieval needs
- Optimize data storage, processing, and retrieval mechanisms for performance and scalability
- Assist in providing technical leadership and guidance in the selection and implementation of data engineering tools and technologies
- Identify and implement best practices and standards for data engineering processes and tools
- Stay up-to-date with emerging technologies and trends in data engineering, evaluating their potential impact on our data infrastructure
- Collaborate with cross-functional teams to integrate data sources and enable seamless data flow across systems and with data scientists, analysts, and stakeholders to understand data requirements and develop scalable data solutions
- Support in the implementation and maintenance of data governance and security measures to protect sensitive information and to ensure data quality and integrity by implementing effective data validation and cleansing techniques
Core Requirements
- Ability to communicate and collaborate effectively with both technical and non-technical stakeholders
- Strong understanding of ETL, Data Architecture, and Dimensional Modeling principles and methodologies
- Understanding of database systems and SQL
- Experience with data pipelines and automation
- Knowledge of using version control tools like git
- Proficient problem-solving ability and analytical skills
Preferred Skills
- GitHub & GitHub Actions
- Snowflake (Cloud Datawarehouse Provider)
- Python
- Informatica (IDMC)
- DevOps, CI/CD, Security & Scaling
- Agile ways of working