Data Engineer
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Role: Data Engineer
The address for Interviews is 2151 Hawkins Street, Charlotte, 12th Floor6+ months An in-person interview required. Glider Test Required Financial company experience needed
Key Skills:
- PysparkSqlPythonGoogle Cloud Platform
- Data Engineer w/ Google Cloud Platform & SQLEvaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs.
- Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements.
- Collaborates in design reviews and testing and provides production environment support with guidance from peers and leaders.
- Operates data assets according to consistent standards, guidelines, and policies.
- Completes work reviews and fosters a collaborative learning environment.
- Communicates and collaborates with business and product teams to facilitate changes and implementation.
- Completes Big Data requirements by implementing basic partitioning and indexing solutions.
- Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives.
- Google Cloud Platform Expertise: Hands-on experience with Google Cloud Platform services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and Cloud Functions.
- Programming Languages: Strong proficiency in Python and SQL for data processing and manipulation.
ETL/ELT:
Experience with ETL/ELT processes and data warehousing concepts.
Data Modeling: Understanding of data modeling principles and techniques.
Cloud Technologies: Knowledge of cloud computing concepts and standard processes