Senior Data Engineer
Posted 16 days ago
You'll complete your application on DysrupIT's career site.
About the Role
This international provider of cloud and IT services supports businesses in integrating contemporary cloud environments and transitioning to as-a-Service operations. The firm offers a full range of solutions, including cybersecurity, data analytics, managed services, application engineering, and enterprise cloud infrastructure, to clients ranging from SMBs to multinational corporations. By leveraging major platforms like Microsoft, the organization focuses on delivering scalable, secure, and business-focused results. As a Senior Data Engineer, you will work within a culture that prioritizes professional growth, meaningful community involvement, and sustained partnerships. Your primary objective is to create and oversee complex data ingestion pipelines, particularly for billing and financial information, utilizing Google Cloud Platform.
Requirements
- Minimum of six years in data engineering, with a specific emphasis on precision-based billing or financial pipelines.
- Advanced proficiency in SQL, including performance optimization and intricate join operations.
- Strong capability in Python programming, specifically utilizing pytest and pydantic frameworks.
- Expert mastery of Google BigQuery, specifically concerning clustering, partitioning, and the use of nested STRUCT or ARRAY tables.
- Demonstrable success in creating rerunnable, idempotent pipelines that maintain rigorous data quality standards through robust validation and reconciliation.
- Direct experience in invoicing sectors, such as month-end closing, rebilling, and credit notes, particularly within audited or regulated settings.
- Familiarity with supplementary Google Cloud Platform tools, such as Cloud Run and Cloud Storage, is highly desirable.
Responsibilities
- Architect, construct, and support data pipelines for financial and billing information within the Google Cloud Platform, while updating BigQuery data structures to facilitate advanced analytics.
- Perform daily reconciliation tasks across staging, source, and output environments, and establish effective file validation and quarantine procedures for erroneous datasets.
- Ensure all pipelines function idempotently to avoid data degradation and manage effective-dated reference information, such as client attributes and currency conversions.
- Author high-quality, tested Python scripts and performant SQL queries to enable effective reporting and data transformations.
- Partner with finance professionals and analysts to convert operational requirements into dependable data logic.
- Provide mentorship to colleagues and assist in establishing organization-wide engineering protocols.
Benefits & Perks
- Competitive salary package tailored to your background.
- Statutory benefits supplemented by additional HMO insurance.
- A professional and team-oriented atmosphere focused on long-term career progression.
- Flexible remote or hybrid working arrangements depending on the circumstances.
- Access to training programs designed to foster continuous professional development.
Note: This listing is summarized and paraphrased by WorkNow from a publicly posted role. For the original wording and full details, please refer to the employer's official posting.
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