Software Engineer - Snowflake
White Cloak Technologies, Inc.
Date: 3 weeks ago
                            City: Quezon City
                                                        Contract type: Contractor
                                                     
                                                
                            Responsibilities
                    - Data Pipeline Development: Design, develop, and optimize real-time and batch data pipelines using Confluent Kafka and Snowflake.
- Streaming Data Processing: Implement event-driven architectures leveraging Kafka Streams, ksqlDB, and Kafka Connect.
- Data Integration: Integrate structured and semi-structured data from multiple sources into Snowflake for analytics and reporting.
- Database Management: Develop, optimize, and maintain Snowflake-based data warehouses, ensuring high availability and performance.
- Security & Compliance: Implement data security best practices, including encryption, role-based access control (RBAC), and compliance with GDPR, HIPAA, or other relevant regulations.
- Optimization: Optimize query performance and storage efficiency in Snowflake using clustering, partitioning, and caching techniques.
- Testing: Conduct unit testing and data validation to ensure accuracy and reliability of data pipelines.
- Troubleshooting: Diagnose and resolve issues related to Kafka messaging, Snowflake storage, and data transformations.
- Documentation: Prepare and maintain technical documentation, including architecture diagrams, data flow processes, and best practices.
- Collaboration: Work with Data Scientists, BI Teams, and Cloud Engineers to provide real-time and batch data solutions.
- Maintenance: Monitor and maintain the stability of streaming pipelines and data warehouse operations.
- Strong understanding of real-time data streaming and event-driven architectures.
- Experience in Snowflake data warehouse development and administration.
- Proficiency in SQL, Python, or Scala for data processing and transformation.
- Familiarity with cloud platforms (AWS, Azure, GCP) for data pipeline orchestration.
- Experience with ETL/ELT processes and data pipeline automation.
- Knowledge of CI/CD for data pipelines, version control (Git), and DevOps tools.
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