Data Architect Specialist
7 days ago
Job Description
The Senior Data Engineer will be responsible for developing and implementing data warehousing blueprints, evaluating hardware and software platforms, and integrating systems. This individual must have a deep understanding of data design, database architecture, metadata, and repository creation.
Responsibilities
- Develop and implement data warehousing blueprints
- Evaluate hardware and software platforms
- Integrate systems
- Manage the data environment
- Translate business needs into long-term architecture solutions
- Define, design, and build dimensional databases
- Evaluate re-usability of current data for additional analyses
- Conduct data cleaning to rid the system of old, unused, or duplicate data
- Review data models and the metadata repository to structure the data for better management and quicker access
Requirements
To be successful in this role, you will need:
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
- Relevant certifications in cloud platforms (e.g., AWS Certified Data Analytics, Google Professional Data Engineer)
- Certifications in data engineering or big data technologies
- Experience in handling and processing large datasets efficiently
- Understanding of cloud architecture and best practices for deploying data solutions
- Experience in managing data projects using agile practices (e.g., Scrum, Kanban)
Preferred Qualifications
If you have any of the following qualifications, it would be a plus:
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field (Master's degree preferred)
- Familiarity with big data frameworks such as Apache Hadoop, Spark, and Kafka
- Knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
- Expertise in designing scalable and efficient data architectures that support large-scale data processing
- Understanding of data modeling techniques, including dimensional and normalized models
- Experience in managing data projects using agile practices (e.g., Scrum, Kanban)
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