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Senior Data Engineer - Remote

Posted 3 days ago
Data Analysis
Contract
TX, USA

Overview

Kaizen Analytix LLC is seeking a skilled Senior Data Engineer to design, build, and maintain robust and scalable data pipelines, optimize data storage, and ensure seamless data integration into our Snowflake data warehouse.

In Short

  • Contract position as a Senior Data Engineer.
  • Design and maintain data pipelines in Snowflake.
  • Optimize data storage and integration from multiple sources.
  • 6+ years of experience in data engineering required.
  • Proficiency in SQL and data modeling techniques.
  • Experience with ETL/ELT tools like dbt and Apache Airflow.
  • Familiarity with AWS, Azure, or GCP.
  • Programming experience in Python or Scala.
  • Strong analytical and problem-solving skills required.
  • Excellent communication skills are essential.

Requirements

  • Bachelor's or master's degree in computer science or related field.
  • 6-8 years in Data Engineering.
  • 5+ years of experience with Python and SQL.
  • Familiarity with distributed computing and data modeling.
  • Experience with object-oriented design and testing patterns.
  • Knowledge of SQLServer and Typescript/Javascript is a plus.
  • WebApp development experience is a plus.
  • Ability to work in a fast-paced environment.
  • Open to constructive feedback.

Benefits

  • Opportunity to work with a growing data team.
  • Engage in innovative analytics solutions.
  • Flexible working conditions.
  • Collaborative team environment.
  • Professional development opportunities.
Kaizen Analytix logo

Kaizen Analytix

Kaizen Analytix is a forward-thinking analytics firm dedicated to leveraging data science and machine learning to drive business success. The company specializes in analyzing complex datasets to uncover trends and insights that inform strategic decision-making. With a focus on continuous learning and collaboration, Kaizen Analytix fosters a dynamic work environment where data scientists and analysts work closely with cross-functional teams to develop innovative solutions. The company values expertise in statistical analysis, predictive modeling, and data visualization, and is committed to staying at the forefront of advancements in the field.

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