
Senior Cloud Data Engineer Position
1 day ago
The ideal candidate will be responsible for designing and implementing scalable data pipelines using GCP services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer ,Cloud Function, Cloud RUN.
- Key Responsibilities:
- Develop and maintain high-quality data solutions that meet business requirements.
- Collaborate with cross-functional teams to deliver data analytics and reporting capabilities.
- Implement data integration solutions to ingest, process, and store large volumes of structured and unstructured data from various sources.
- Optimize and tune data pipelines for performance, reliability, and cost-efficiency.
- Ensure data quality and integrity through data validation, cleansing, and transformation processes.
- Develop and maintain data models, schemas, and metadata to support data analytics and reporting.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to data workflows.
- Stay up-to-date with the latest GCP technologies and best practices, and provide recommendations for continuous improvement.
- Lead by example, mentor junior data engineers, and foster a culture of knowledge sharing and collaboration.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4 to 6 years of experience in data engineering, with a strong focus on GCP.
- Proficiency in GCP services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub, Cloud Storage, Composer ,Cloud Function, Cloud RUN.
- Strong programming skills in Python, PLSQL.
- Experience with SQL and NoSQL databases.
- Knowledge of data warehousing concepts and best practices.
- Familiarity with data integration tools and frameworks.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work in a fast-paced, dynamic environment.
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