Data Engineer Lead dl

 Posted 2 months ago
     
⭐ 5-10 years experience
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AI Summary

The Data Engineer Lead will co-develop batch and streaming pipelines while defining data contracts and quality rules. They are also responsible for mentoring domain engineers and guiding teams on data modeling and product ownership.

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€

 

Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

 

We’re looking for a Data Engineer Lead to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! πŸΆπŸš€

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πŸš€ What We Do
  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.


🌟 Our Partnerships
  • Amazon Web Services
  • Astronomer
  • Databricks


🌟 Our Values
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
 
πŸ” Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! πŸš€


Responsibilities πŸ€“
  • Co-develops batch and streaming pipelines, semantic models, and transformations
    on Databricks (Python/Spark).
  • Defines and maintains data contracts, quality rules, and data SLOs for each data
    product.
  • Guides domain teams on data modeling and data product boundaries (what
    belongs to which product/domain).
  • Trains, mentors and pairs with domain engineers/analysts on data product
    ownership and good engineering practices.
  • Captures feedback and best practices from domains and feeds improvements back
    into platform templates, tooling, and patterns.


Required Skills πŸ’»
  • Experience in Data Engineering, including building and optimizing data pipelines.
  • Experience working with Databricks, Python, and Spark, building batch and streaming.
  • English Advanced Level.
  • Familiarity with a BI visualization tool like Looker or Tableau.


🎁 Perks
  • 🌍 Remote-first culture – work from anywhere!
  • πŸš€ In-Company English Lessons.
  • πŸ’ͺ Wellhub or sports club stipend to stay active
  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • πŸ• Food credits via Pedidos Ya – because great work deserves great food.
  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 🀝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!


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