Lead Data Engineer

Job not on LinkedIn

🕒 July 21

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 24%

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Logo of MUTT DATA

MUTT DATA

51 - 200 employees

📣 Marketing

🛡️ Insurance

📦 Logistics

Marketing • Insurance • Logistics

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• 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.

🎯 Requirements

• Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth. • Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams. • Experience in Data Engineering, including building and optimizing data pipelines. • Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter). • Experience working with any cloud (AWS, GCP, Azure or DBT). • Knowledge of Docker. • Experience with orchestration tools like Airflow or Prefect. • Familiarity with ETL processes and automation.

🏖️ Benefits

• 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! 🏖️) • Referral bonuses – help us grow the team & get rewarded! • Maslow: Monthly credits to spend in our benefits marketplace. • Annual Mutters' Trip – an unforgettable getaway with the team!

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