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Senior Data Engineer
5 months ago
Requirements :
- Experience with GCP technologies (BigQuery, DataFlow, PubSub) and DBT.
- Strong experience in Java is required.
- Candidates without Java experience will not be considered.
- Apart from Java, candidates must be able to understand the trade-off between performance, simplicity, maintainability, and timeline constraints when developing software solutions.
Roles & Responsibilities :
- Design, develop, and maintain data pipelines using GCP technologies such as BigQuery, DataFlow, and PubSub.
- Ensure data pipelines are scalable, reliable, and efficient, meeting the needs of the organization.
Data Modeling and Transformation :
- Utilize DBT (Data Build Tool) to create and manage data models, ensuring data integrity and consistency across the data warehouse.
- Perform data transformations and cleansing to prepare data for analysis and reporting.
Java Development :
- Apply your strong experience in Java to develop and maintain software solutions that integrate with data pipelines and infrastructure.
- Write clean, efficient, and maintainable code, adhering to best practices and coding standards.
Performance Optimization :
- Analyze and optimize the performance of data pipelines and software solutions.
- Understand the trade-offs between performance, simplicity, maintainability, and timeline constraints, making informed decisions to balance these factors effectively.
Collaboration and Communication :
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Communicate technical concepts and solutions effectively to non-technical stakeholders.
Data Integration and Management :
- Integrate data from various sources, ensuring data is accurately and efficiently processed and stored in the data warehouse.
- Implement data governance and security practices to protect sensitive data and ensure compliance with regulations.
Continuous Improvement :
- Stay updated with the latest trends and technologies in data engineering and cloud computing.
- Identify opportunities for process improvements and implement best practices to enhance the efficiency and effectiveness of data engineering workflows.
Qualifications :
Experience :
- Proven experience with GCP technologies, including BigQuery, DataFlow, and PubSub.
- Strong experience in Java development, with a deep understanding of the language and its ecosystems.
- Hands-on experience with DBT for data modeling and transformation.
Technical Skills :
- Proficiency in designing and developing data pipelines and ETL processes.
- Strong understanding of database management, data warehousing, and data integration.
- Experience with performance optimization and troubleshooting in a data engineering context.
(ref:hirist.tech)