
Senior Data Engineer
1 week ago
We are seeking an expert in data engineering to join our team.
The ideal candidate will have a strong background in developing dataflows using SQL and ETL tools. Experience with AWS services such as Redshift, Glue, and Athena is highly desirable.
Key Responsibilities:
- Create input datasets from various sources including MongoDB, Flat files, AWS S3, and Redshift connector.
- Develop complex dataflows using Magic ETL (SQL, Add Formula, Rank & Window, Pivot), SQL Transformation, and Blend.
- Assign personalized data permissions based on user requirements.
- Maintain data governance, metadata, and user management.
- Design views with joining and union operations.
- Work in a sandbox environment across dev, QA, and prod instances.
- Migrate and promote content.
- Optimize and tune performance.
- Write complex SQL queries.
- Build apps, dashboards, and apply filters.
- Use various charts and tables (bar, pie, line, gauge, table, pivot) to present data.
- Apply drill-up/down/thru functionality.
- Create calculated fields (Beast Mode) for WTD, MTD, QTD, and YTD metrics.
- Manage variables and control filters.
- Handle key performance indicators (KPIs).
Required Skills and Qualifications:
- Proficiency in SQL and data modeling.
- Experience with AWS services such as Redshift, Glue, and Athena.
- Strong understanding of data governance and metadata management.
- Ability to design and implement dataflows using ETL tools.
- Excellent problem-solving skills and attention to detail.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
Other Information:
Applicants must have prior experience working with AWS Cloud services. Familiarity with Confluence and MongoDB is beneficial but not required.
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