Senior Data Scientist - Network Value
At a glance
AI generatedTL;DR
We are seeking a Senior Data Engineer to join our dynamic and innovative team in New York City. This individual will be responsible for designing, developing, and maintaining robust data infrastructure that supports real-time analytics and reporting. Day-to-day tasks include building scalable ETL pipelines, integrating diverse data sources, and ensuring data quality through rigorous testing and validation processes. The ideal candidate should have extensive experience with Apache Hadoop, Spark, and Kafka, as well as proficiency in Python or Scala for scripting and automation. Additionally, knowledge of cloud platforms like AWS or Azure is essential. This role involves working on large-scale datasets to solve complex business problems, making it a critical position within our growing data analytics team.
Skills
What you'll do
- Design and implement data models to support business intelligence needs.
- Develop ETL processes to ensure accurate and timely data flow.
- Create and maintain data dictionaries and documentation for datasets.
- Analyze complex datasets to identify trends and provide insights.
- Collaborate with stakeholders to understand data requirements and solutions.
What we're looking for
- Minimum 3 years of experience in data analysis and reporting.
- Proficiency in SQL for database querying and manipulation.
- Strong knowledge of Python or R for statistical analysis.
- Experience with data visualization tools like Tableau or Power BI.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
- Excellent problem-solving skills and attention to detail.
Employer
About Plaid
Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure
Plaid currently has 58 open roles on FindRole.
Listed pay typically runs $204,156–$281,196 across 58 roles with salary data.
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