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5 days ago
We are seeking a skilled Data Engineering Specialist to design, develop and maintain scalable data pipelines and ETL processes using GCP services.
- Key Responsibilities:
- Design, develop and maintain large-scale data pipelines and ETL processes leveraging GCP services such as BigQuery, Cloud Data Fusion, Dataflow, Pub/Sub and Cloud Storage.
- Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
- 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, providing recommendations for continuous improvement.
- Bachelor's or Master's degree in Computer Science, Information Technology or a related field.
- 4-6 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 and Cloud RUN.
- Strong programming skills in Python and PL/SQL.
- 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.
A fast-paced and dynamic work environment with opportunities for professional growth and development.
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