Data Engineer Senior - Databricks
Posted Updated 9
views 1 applied
Summary
Build and maintain scalable data pipelines and semantic models on Databricks using Python/Spark to power ML systems for demand planning, forecasting, and e-commerce ad optimization.
🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
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 Senior to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
🚀 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
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
🔍 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! 🚀
Responsibilities 🤓
- 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 💻
- Experience in Data Engineering, including building and optimizing data pipelines.
- Experience working with Databricks, Python, and Spark, building batch and streaming.
- Intermediate level of English.
- Familiarity with a BI visualization tool like Looker or Tableau.
🎁 Perks
- 🌍 Remote-first culture – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
Skills
As published by lever · 15 questions · 8 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Other URL
Short answers (1)
- Gross salary expectations (or USD net)
Pick from a list (6)
- Do you currently reside in Latin America? (This is a mandatory requirement for this role. If you do not currently reside in Latin America, your application will not be considered.)
- Where did you hear about us? optional
- Do you have work experience with any of these tools? optional
- English Level
- Seniority optional
- Working mode
Written answers (8)
- Did you know Muttdata before applying? Below, we are sharing a link with additional information about the company : https://linktr.ee/MuttDataJobs optional
- Describe about your relevant experience in the role optional
- Have you ever worked with Databricks, particularly in data engineering, data analytics, or building and managing data pipelines?
- What is your level of experience in developing data architecture solutions? Have you primarily used Python or any other language?
- Do you have any of these certifications (Databricks, Azure, AWS, Astronomer, GCP)? If so, are they still active? optional
- What is your level of experience in designing and implementing cloud solutions? Did your cloud solutions involve developing new components or were they based on utilizing products from AWS/GCP/Databricks/DBT? optional
- Do you have experience leading teams? optional
- Study/Degree optional