ID: 12022
**What you will do**
- Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;
- Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
- Collect, process, and prepare large datasets for analysis, feature engineering, and model training;
- Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;
- Optimize data storage, retrieval, and processing performance for ML workloads;
- Develop and maintain ETL (Extract, Transform, Load) processes and workflows;
- Manage data versioning, storage, and access control for ML datasets;
- Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;
- Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.
**Must haves**
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;
- Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;
- Strong proficiency in programming languages such as Python, Java, or Scala;
- Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);
- Experience with data warehousing solutions and data integration tools;




- Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;
- Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);
- Excellent problem-solving skills and a collaborative mindset;
- Excellent oral and written communication skills with a keen sense of customer service.
**Nice to haves**
- Experience in ad/marketing environment
- Experience working with Data Lakes
- Experience with Scala
- Experience with Glue/EMR/Redshift/Airflow
- Experience with Terraform.
**The benefits of joining us**
- **Professional growth**
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
- **Competitive compensation**
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- **A selection of exciting projects**
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
- **Flextime**
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.
reference: 12022
**Job Types**: Full-time, Contract
Work Location: Remote

📌 Senior/lead Data Software Engineer (México)
🏢 Agileengine
📍 México