Data Engineer for a U.s.-based, Fast-growing

hace 3 semanas


Desde casa, México Data Driven Partners A tiempo completo

The Role: Data Engineer - "Data Swiss Army Knife"

**Responsibilities**:

- Build and maintain ETL pipelines for moving and transforming data between sources.
- Design data warehouses and create large-scale real-time analytics systems using big data technologies.
- Developmetrics, dashboards, and reports from large datasets using SQL or other query languages.
- Create and manage systems for data acquisition, aggregation, storage, and analysis.
- Design experiments to test hypotheses and optimize business processes.
- Collaborate with stakeholders to identify and prioritize data needs.
- Implement data security and privacy best practices.
- Troubleshoot and maintain data pipelines and systems.
- Continuously improve data quality, reliability, and performance.

**Requirements**:

- Practical experience as a Data Engineer, ETL Developer, or similar role.
- Fluent in U.S. English (both written and verbal).
- Strong Python expertise and knowledge of other programming languages (e.g., Java, Scala).
- Solid understanding of ETL processes and data warehousing concepts.
- Proficiency in SQL and other query languages.
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Strong analytical skills and problem-solving abilities.
- Excellent communication and collaboration skills.
- Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Qualifications:

- Experience in the financial services industry, marketing
- Familiarity with machine learning techniques and tools

Pay: $30,000.00 - $50,000.00 per month

Pregunta(s) de postulación:

- Can you describe a challenging data engineering project you have worked on, including the tools and technologies used, the problem you faced, and how you overcame it?
- How do you ensure data quality and integrity when designing and implementing ETL processes and data pipelines? Can you provide a specific example of a technique or best practice that you've applied in a previous project?
- What has been your experience interacting and working daily with American-English speaking colleagues?

Experiência:

- 10 year: 2 años (Deseable)

Idioma:

- English (Obligatorio)

Work Location: Remote

Expected Start Date: 10/05/2023



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