Muttdata

Technology

DataEngineerSenior-DBT

$15000–25000k ~AI est. Argentina FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer Senior - DBT at Muttdata. Skills: Data Engineering, Machine Learning, Dbt, AWS. Design, develop, and maintain Data Products. Build, optimize, and operate data pipelines”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting; Optimization

What They're Looking For.

Must Have

Experience in Data Engineering, Building and optimizing data pipelines, Knowledge of SQL, Python (Pandas, Numpy, Jupyter), Experience working with dbt, Cloud platforms such as AWS, Basic knowledge of Docker, Experience with orchestration tools like Airflow or Prefect

Nice to Have

Familiarity with modern data stack tools, Snowflake is a plus, Familiarity with a BI visualization tool like Looker or Tableau

What You'll Do.

and maintain Data Products

and operate data pipelines

Collaborate with multiple business and data domains

Develop and maintain analytical data models

and promote engineering standards

Drive initiatives related to Data Quality

Contribute to the adoption of version control

Support the evolution and scaling of the bank's

Partner with stakeholders to foster a data-driven culture

Participate in initiatives related to AI

Mentor and influence engineering teams

Collaborate with cross-functional teams

How You'll Work.

Team & Collaboration

Cross-functional teams; Data domains; Business domains

Communication Scope

English Lessons

Process & Methodology

CI/CD, Development workflows

Full Job Description

## Description 🚀 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 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 🤓 Design, develop, and maintain Data Products following Data Mesh principles, enabling scalable and reusable data consumption across the organization. Build, optimize, and operate data pipelines using modern data engineering practices and tools such as dbt, Airflow, and cloud-based data platforms. Collaborate closely with multiple business and data domains to understand requirements and deliver high-quality data solutions. Develop and maintain analytical data models that s

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