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Data Engineer
2 months ago
Job Description:
We are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP), particularly in BigQuery and Pub/Sub, coupled with advanced proficiency in Python. As a Data Engineer, you will play a pivotal role in designing, implementing, and optimizing data pipelines, ensuring the smooth flow of data within our organization.
Responsibilities:
1. Architect and Develop Data Pipelines: Design, develop, and maintain scalable and efficient data pipelines using GCP services such as Pub/Sub for real-time data ingestion and BigQuery for storage and analysis.
2. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from various sources, ensuring data quality and consistency.
3. Optimize Performance: Fine-tune data pipelines and queries to optimize performance and reduce latency, ensuring timely access to data for stakeholders.
4. Monitoring and Maintenance: Implement monitoring solutions to track pipeline performance and proactively address issues. Perform regular maintenance tasks to ensure the reliability and availability of data infrastructure.
5. Collaboration: Collaborate with cross-functional teams including Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to address business needs.
6. Documentation: Document data pipelines, processes, and best practices to ensure knowledge sharing and maintain a comprehensive understanding of data architecture.
Requirements:
1. Proficiency in GCP Services: Extensive hands-on experience with Google Cloud Platform services, particularly BigQuery for data storage and analysis, and Pub/Sub for real-time data streaming.
2. Python Programming: Strong programming skills in Python for data manipulation, scripting, and automation tasks. Experience with libraries such as Pandas, NumPy, and TensorFlow is highly desirable.
3. Data Modeling: Solid understanding of data modeling concepts and experience in designing efficient data models for analytics and reporting purposes.
4. SQL Skills: Proficiency in writing complex SQL queries for data extraction, transformation, and analysis within BigQuery.
5. Experience with Data Warehousing: Familiarity with data warehousing concepts and experience in implementing data warehouse solutions using GCP BigQuery or similar technologies.
6. Problem-solving Skills: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data-related issues.
7. Communication Skills: Excellent communication skills with the ability to effectively collaborate with cross-functional teams and articulate technical concepts to non-technical stakeholders.
8. Bachelor’s Degree: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree or relevant certifications in Data Engineering or GCP are a plus.