Senior Data Engineer (m/f/d)

10 Months ago • 4-8 Years
Data Analysis

Job Description

As a Senior Data Engineer at Inkitt, you will design, develop, and maintain scalable data pipelines using Airflow, Python, and dbt. You will improve data pipeline performance, troubleshoot issues, and implement monitoring for platform reliability. Collaboration with data engineers, analysts, product managers, and stakeholders is crucial to understand data needs. You'll establish data quality standards, design robust data architectures, and enable data-driven decision-making. Inkitt is building the "Disney of the 21st Century", using AI to transform unknown stories into bestsellers. This role requires expertise in data platform design, Airflow, dbt, Python, and SQL, and experience in a fast-paced startup environment.
Must Have:
  • Design & maintain scalable data pipelines
  • Expertise in Airflow, dbt, Python, SQL
  • Improve pipeline performance & troubleshooting
  • Establish data quality standards
  • Collaborate with stakeholders

Add these skills to join the top 1% applicants for this job

quality-control
python
sql
algorithms

Inkitt is building the Disney of the 21st Century; standing at the forefront of technology and entertainment! Leveraging AI and predictive algorithms, Inkitt discovers unknown stories and turns them into blockbuster hits. Producing a new $1M ebook every 4 weeks then selling directly to consumers through its Galatea app! Inkitt has become the 11th most bestseller-generating publisher in the world, boasting a 40x higher hit-rate than traditional publishers. Recently raising a Series C, backed by some of the top VC’s such as: Khosla, Kleiner Perkins, and NEA Ventures, our recent expansion into GalateaTV is only the beginning of our journey to becoming the next-gen entertainment powerhouse!

What You’ll Do:

    • Design, develop, and maintain scalable data pipelines using Airflow, Python, and dbt to support data processing
    • Continuously improve data pipeline performance, troubleshoot issues, and implement monitoring to maintain platform reliability
    • Collaborate with data engineers, product analysts, product managers, and other stakeholders to understand current and future data needs
    • Establish and enforce data quality standards throughout the ETL process
    • Design and implement robust, scalable, and maintainable data architectures
    • Enable stakeholders to make data-driven decisions on data that is reliable, fast, and readily available

What You’ll Bring:

    • Expertise in designing, building, maintaining, and improving data platforms and pipelines
    • Advanced knowledge of and experience with tools like Airflow and dbt
    • Expertise in Python and SQL for data engineering tasks
    • Experience in working in a dynamic and fast-paced startup environment
At Inkitt, we strive to build a company culture & provide employment opportunities based on diversity and inclusion. We believe every author should have an equal opportunity to succeed, as should our team members. As a growing team from 20+ countries, we welcome everyone to apply. 

We look forward to hearing from you!

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