Data Engineer
hace 6 meses
**Responsibilities**:
- Designs data integrations and framework for continually evaluating and maintaining data quality.
- Develops and maintains scalable data pipelines, API integrations and micro-services architecture
to ensure data quality and accessibility in modular data warehouse infrastructure.
- Implements processes and systems to continually monitor data quality, ensuring production data
is always accurate and accessible to key stakeholders.
- Performs ad hoc data analysis to troubleshoot data related issues and assist in the resolution of
data issues.
- Assists in creating a framework whereby data is increasingly accessible, thereby fostering
data-driven decision making across the organization.
- Collaborates with the relevant business units to improve data models that feed core business functions in analytics, finance, sales and marketing.
- Contributes to developing a long-term data strategy and modern data architecture.
- **Experience and Qualifications**:_
- BS or MS degree in Computer Science, Systems Engineering, Data Science, Statistics or related
field
- 3+ years of Python experience
- 3+ years of SQL and PostgreSQL experience
- **Required Skills**:_
- Expert at Python and SQL, including common libraries and data QA scripts
- Proficient with AWS and Microsoft Azure cloud environment
- Superb attention to detail and documentation
- Excellent problem solving and troubleshooting abilities
- Strong oral and written communication skills
Desired Skills:
- Proficient in No-SQL, Java, C/C++
- Experience with Node, Angular, Spark, Hadoop or Snowflake
- A successful history of building and maintaining data pipelines, QA processes, ETL processes
and related data infrastructure
- Financial industry knowledge or experience
- Netsuite experience a plus
Tipo de puesto: Indefinido
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