
Data Infrastructure Specialist
2 days ago
The ideal candidate will have the ability to design and develop scalable data pipelines using AWS services, as well as build robust ETL processes for efficient data ingestion, transformation, and storage.
- Create data infrastructure to support analytics, reporting, and business intelligence.
- Design and implement automated data workflows to streamline processes and improve efficiency.
- Develop and maintain relational databases to support business needs, ensuring high-quality data through validation, monitoring, and governance best practices.
- Support business users by structuring and making data accessible in reporting tools like Tableau or Metabase.
For this position, we are looking for a candidate with:
- Proven experience in data engineering with cloud-based data platforms (AWS).
- Strong proficiency in Python for data processing and automation.
- Experience with SQL and database management (PostgreSQL, MySQL, or similar).
- Hands-on experience with AWS services such as Glue, S3, Lambda, and RDS.
- Understanding of ETL/ELT best practices and experience building data pipelines.
- Experience with data visualization and BI tools such as Tableau or Metabase.
- Experience with infrastructure-as-code tools (Terraform, CloudFormation) for data infrastructure automation.
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