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Data Engineer, Infra-Finance Business intelligence
2 months ago
Key job responsibilities
• Design, implement, and support a platform providing secured access to large datasets.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Tune application and query performance using profiling tools and SQL.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
• Keep up to date with advances in data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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