
Chief Data Architect
4 days ago
We're revolutionizing how the world leverages information to drive meaningful change. As a Cloud Data Engineer, you'll play a pivotal role in designing and developing scalable data management systems that unlock insights from vast datasets.
Key Responsibilities And Tasks
Understand The Business Challenge:
- Maintain a deep understanding of company strategy and departmental objectives.
- Translate analysis requirements into actionable data needs.
- Identify and comprehend relevant data sources.
- Develop conceptual models that capture data relationships.
- Define data-quality objectives for the solution.
Design And Implement Data Management Systems:
- Leverage business acumen and data awareness to select optimal data management solutions.
- Design and implement efficient data structures within selected systems to meet data requirements.
Develop ETL Processes For Varying Data Volumes:
- Identify suitable access methods for each data source (real-time/streaming, delayed, static).
- Determine transformation needs and develop processes to bring structured and unstructured data into a new physical model.
Prepare Data For Analysis:
- Collaborate with data scientists to implement strategies for data cleaning and preparation (e.g., outliers, missing data, etc.).
Required Skills And Qualifications:
- 5+ years delivering data engineering, advanced analytics, or business intelligence solutions.
- Ability to work across multiple operating systems (e.g., MS Office, Unix, Linux, etc.).
- Experience with ETL/ELT processes using Apache Ni-Fi and Snowflake.
- Proficiency in cloud-based solutions using AWS/AZURE/GCP.
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