
Highly Skilled Data Professional Wanted
2 weeks ago
The role of Senior Data Engineer involves designing, building, and maintaining scalable data infrastructure to support analytics, reporting, and business intelligence. A key member of our team will work closely with engineers, data scientists, and stakeholders to ensure efficient processing, storage, and accessibility of high-quality data.
Key Responsibilities:- Data Infrastructure & Pipelines: Develop and maintain scalable data pipelines using cloud-based services.
- ETL Development: Build robust ETL processes to ingest, transform, and store data efficiently.
- Database & Storage Optimizations: Manage and optimize relational databases to support business needs.
- Data Quality & Governance: Ensure high-quality data through validation, monitoring, and governance best practices.
- Automation & Scripting: Develop scripts and automation tools to streamline data processes and workflows.
- Data Presentation & Accessibility: Support business users by ensuring data is structured and accessible in reporting tools.
- DevOps & CI/CD: Implement best practices for version control, testing, and deployment of data pipelines.
- Proven experience in data engineering, working with cloud-based data platforms.
- Strong proficiency in Python for data processing and automation.
- Experience with SQL and database management.
- Hands-on experience with AWS services such as Glue, S3, Lambda, and RDS.
- Understanding of ETL/ELT best practices and experience building data pipelines.
- Familiarity with machine learning technologies.
- Experience working in agile environments and familiarity with tools like Jira and Confluence.
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