CloudSufi - Data Engineer
2 days ago
Responsibilities :
- Build and optimize data warehousing solutions on Google BigQuery.
- Develop and manage data workflows using Apache Airflow.
- Write complex and efficient SQL queries for data extraction, transformation, and analysis.
- Develop Python-based scripts and applications for data processing and automation.
- Collaborate with data scientists and analysts to understand their data requirements and
provide solutions.
- Implement data quality checks and monitoring to ensure data accuracy and consistency.
- Optimize data pipelines for performance, scalability, and cost-effectiveness.
- Contribute to the design and implementation of data infrastructure best practices.
- Troubleshoot and resolve data-related issues.
- Stay up-to-date with the latest data engineering trends and technologies, particularly within the Google Cloud ecosystem.
Qualifications :
- 3 - 4 years of experience in a Data Engineer role.
- Strong expertise in SQL (preferably with BigQuery SQL).
- Proficiency in Python programming for data manipulation and automation.
- Hands-on experience with Google Cloud Platform (GCP) and its data services.
- Solid understanding of data warehousing concepts and ETL/ELT methodologies.
- Experience with Dataform or DBT for data transformation and modeling.
- Experience with workflow management tools such as Apache Airflow.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
Preferred Qualifications :
- Google Cloud Professional Data Engineer certification.
- Knowledge of data modeling techniques (e.g., dimensional modeling, star schema).
- Familiarity with Agile development methodologies.
(ref:hirist.tech)
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