Scan your resume against ATS criteria for this Data Engineer Senior - Databricks role at Muttdata.
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
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.
Amazon Web Services
Astronomer
Databricks
📊 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 https://blog.muttdata.ai/tag/Case%20Studies/1 our case studies and dive into ourhttps://blog.muttdata.ai/ 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.
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.
e – work from anywhere!
In-Company
stipend to stay active
certifications fully covered
– because great work deserves great food.
– help us grow the team & get rewarded!
– an unforgettable getaway with the team!
– Because supporting families matters too
Perks
e – work from anywhere!
How to apply for Data Engineer Senior - Databricks at Muttdata?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
This position is open to freshers and experienced candidates.
Is this position still open?
Yes, currently active and accepting applications.
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