
Data Engineer
15 hours ago
Data Engineer (Cloud-based) - Build Scalable Data Infrastructure
DescriptionAs a Senior Data Engineer, you will design, develop and maintain scalable data pipelines using cloud-based services to support analytics, reporting and business intelligence.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using AWS services (e.g., S3, Glue, Lambda, RDS).
- Build robust ETL processes to ingest, transform, and store data efficiently.
- Manage and optimize relational databases to support business needs.
- Ensure high-quality data through validation, monitoring, and governance best practices.
- Develop scripts and automation tools (Python, SQL, Bash) to streamline data processes and workflows.
- Support business users by ensuring data is structured and accessible in reporting tools like Tableau or Metabase.
- Implement best practices for version control, testing, and deployment of data pipelines (Terraform, GitHub Actions, etc.).
- Collaborate with cross-functional teams to translate business requirements into efficient data solutions.
- 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 (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 visualisation and BI tools.
- Experience with infrastructure-as-code tools for data infrastructure automation.
- Strong focus on data quality, security, and governance.
- Familiarity with ML technologies.
- Experience working in Agile environments.
- Knowledge of CI/CD for data workflows and version control using Git.
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