Data Engineer Lead - Att
Mutt Data · Argentina
Skills in this posting
The posting
🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Muttdata 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! 🐶🚀
🚀 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.
🌟 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 pos t to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
Partner with cross-functional teams to define BI and analytics
requirements
Innovate with new tools to improve Mutt Data 's infrastructure and processes.
Design dimensional data models and build scalable data pipelines
Develop data models to feed dashboards for teams across the org, as well
as client-facing analytics
Develop tools for the team and assist in tech migrations and model design.
Build scalable, high-performance data architectures.
Focus on code quality—review, document, test, and integrate CI/CD.
Lead complex projects end-to-end with drama free-launches.
Support internal and external reporting metrics creation.
Mentor junior members of the team.
Required Skills 💻
Experience in Data Engineering, including building and optimizing data pipelines.
Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
English Advanced Level.
Experience working with dbt for data transformation and cloud platforms such as AWS. Familiarity with modern data stack tools, including Snowflake, is a plus.
Basic knowledge of Docker.
Experience with orchestration tools like Airflow or Prefect.
Familiarity with a BI visualization tool like Looker or Tableau.
🎁 Perks
Remote-first culture – work from anywhere! 🌍
AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
In-Company English Lessons.
Birthday off + an extra vacation week (Mutt Week! 🏖️)
Maslow: Monthly credits to spend in our benefits marketplace.
✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
👶 Monthly Childcare Reimbursement – Because supporting families matters too
Originally posted on Himalayas
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Data Engineer career changes, measuredevery measured route out
- Data Architect → Data Engineer47% readiness
- Data Analyst → Data Engineer28% readiness
- All open data engineer rolesthe full board
Where these skills also reach
- 83 open data architect roles91% readiness from data engineer
- 65 open database administrator roles59% readiness from data engineer
- 599 open data analyst roles57% readiness from data engineer
- 600 open solutions architect roles56% readiness from data engineer
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