Senior Data Engineer

New
K
KunaiFintech
Remote - United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
AWSPythonETLNosqlSparkData modeling

Requirements

  • 5+ years of professional experience in data engineering or software engineering roles focused on data-centric solutions.
  • Expert Python programming skills with a strong focus on data processing and pipeline development.
  • Deep experience designing and implementing solutions with AWS DynamoDB, including data modeling, performance tuning, and capacity planning.
  • Thorough understanding of cloud computing fundamentals (AWS preferred).
  • Solid experience building high-scale ETL/ELT pipelines and working with streaming and batch data.
  • Experience working with NoSQL databases such as DynamoDB, Cassandra, or similar.
  • Strong verbal and written communication skills; able to explain technical concepts clearly to non-technical stakeholders.
  • Ability to thrive in fast-paced, evolving environments with changing requirements.
  • Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required.

Responsibilities

  • Design, build, and maintain scalable, reliable, and high-performance data pipelines using Python and AWS DynamoDB.
  • Implement robust ETL/ELT processes for both batch and streaming data workloads.
  • Collaborate with data scientists, analysts, and backend engineers to ensure data accessibility and integrity.
  • Develop and optimize DynamoDB data models and indexing strategies to meet diverse access patterns and high throughput requirements.
  • Monitor and optimize pipeline performance, scalability, and latency.
  • Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability and accuracy.
  • Participate in architectural discussions and code reviews, advocating for best practices in Python development and cloud data engineering.
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