
Master Data Architect
18 hours ago
Job Title: Data Engineer
About the Role:
This is a full-time position for an experienced data engineer.
The successful candidate will design, develop and maintain robust data architecture including databases and large-scale data processing systems. Key responsibilities include ETL development, data integration, performance tuning, ensuring data quality and integrity as well as creating efficient data pipelines.
Collaboration with other teams to support data needs and implementing real-time data streaming solutions will also be required.
Key Requirements:
- 4+ years of experience in data engineering or platform reliability roles.
- Strong hands-on experience with Azure Databricks, SQL, PySpark and Delta Lake.
- Proven experience in building and maintaining production-grade data pipelines in cloud environments.
- Familiarity with modern data engineering patterns.
- Experience implementing data testing validation rules and monitoring tools to maintain data quality.
- Experience with orchestration tools like Azure Data Factory, Airflow or dbt Cloud.
- Exposure to data governance, privacy and compliance practices in fintech or regulated industries.
- Familiarity with CI/CD for data pipelines and infrastructure-as-code.
Responsibilities:
- Own and operate the data platforms and day-to-day functions with a focus on 99%+ uptime and reliability.
- Build, monitor and maintain data pipelines across bronze, silver and gold layers using Azure Databricks, SQL and PySpark.
- Implement and manage data testing and data quality frameworks to ensure trust and consistency in key datasets.
- Set up and maintain alerting, observability and logging for data jobs and platform performance.
- Collaborate with stakeholders to understand data requirements and ensure data is delivered clean, complete and on time.
- Drive root cause analysis and resolution for data issues, focusing on continuous improvement and automation.
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