Flatgigs

Flatgigs

FlatGigs tailors recruitment strategies for flat-structured companies, aligning teams with skills and culture. Utilizing tech tools for precise candidate organization.

Professional Services

Description

  • Design, build, and maintain scalable data pipelines and ETL processes using Python.
  • Transform raw data from multiple sources into structured formats for analysis and machine learning use cases.
  • Collaborate with data scientists, analysts, and engineers to improve data accessibility and quality.
  • Implement data validation, cleansing, and monitoring to maintain data integrity.
  • Optimize and troubleshoot data workflows to improve performance and reliability.
  • Work with cloud data infrastructure across AWS, Azure, or Google Cloud Platform.
  • Participate in code reviews, documentation, and enforcement of data engineering best practices.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 4+ years of experience in data engineering or a related role with a focus on Python development.
  • Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Airflow.
  • Experience designing and managing ETL pipelines and data workflows.
  • Hands-on experience with SQL and NoSQL databases such as PostgreSQL and MongoDB.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP and their data services.
  • Experience with Docker and Kubernetes is a plus.
  • Good problem-solving skills and ability to work effectively in cross-functional teams.

Benefits

  • Market competitive salary.
  • Leaves/PTO.
  • Health insurance.
  • Hybrid work model.

Interested in this position?

Apply directly on the company website

Apply Now

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