Senior Data Engineer - Mexico City

2 Months ago • All levels • $75,000 PA - $97,000 PA
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. Your role involves continuously improving data pipeline performance, troubleshooting issues, and implementing monitoring for reliability. You will collaborate with various stakeholders to understand data needs, enforce data quality standards, and design robust data architectures to enable data-driven decisions. Expertise in Python, SQL, and experience in a fast-paced startup environment are essential, along with English fluency.
Must Have:
  • Design, develop, and maintain scalable data pipelines.
  • Improve data pipeline performance and reliability.
  • Collaborate with stakeholders on data needs.
  • Enforce data quality standards in ETL.
  • Design and implement robust data architectures.
  • Enable data-driven decisions for stakeholders.
  • Expertise in data platforms and pipelines.
  • Proficiency with Airflow and dbt.
  • Expertise in Python and SQL.
  • Experience in fast-paced startup environments.
  • Fluency in English.

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

game-texts
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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 CandyJarTV is only the beginning of our journey to becoming the next-gen entertainment powerhouse!

We are actively hiring for this position in Mexico. Candidates must be based in Mexico City or elsewhere in the country and authorized to work. You’ll work closely with teams based in Berlin and San Francisco, so overlap with CET and PST time zones is required.

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
  • Fluency in English is essential, as you’ll collaborate daily with English-speaking colleagues across Europe and the U.S.

Who We Are Looking For:

  • Autonomous
  • Bring solutions instead of problems
  • Data driven
  • Quick to action
  • A high functioning workaholic
  • Looking for exponential career growth
  • Have lots of fun building a generational AI x Entertainment company

Salary offers are determined based on the candidate’s experience, skills, and alignment with the requirements of the role, as well as internal equity and market benchmarks

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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