Snowflake Sr. BI/DW Engineer Tiempo Completo

The Sr. Engineer will design, develop, and maintain BI/ML/AI solutions that empower data-driven decision-making across the organization. You will work closely with cross-functional teams, translating business needs into technical specifications and building intuitive data models using industry-leading BI tools like Power BI and Qlik. . Your contributions will be essential in turning complex data into actionable insights and powering our data-driven decision-making processes.

Responsibilities:

• Develop, test, and deploy machine learning models for various use cases such as MACD’s, Enterprise Defects within operations, etc..
• Work with large datasets and perform data preprocessing, feature engineering, and model selection.
• Collaborate with engineers, and product teams to define and deliver high-quality AI solutions.
• Implement machine learning pipelines for scalable model training and inference.
• Tune and optimize models for performance and efficiency, including hyperparameter tuning, model evaluation, and validation.
• Build robust and scalable BI solutions that facilitate data-driven decision-making processes across departments.
• Partner with business analysts, department heads, and other stakeholders to gather business requirements and translate them into detailed technical specifications.
• Create and maintain data models, ensuring data accuracy, consistency, and optimization across BI tools like Power BI and Qlik.

Skills & Qualifications:

• Bachelor’s in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
• 2-4 years of experience working in machine learning, data science, or related roles.
• Snowflake experience
• DBT Experience
• Proficiency in programming languages such as Python, R, or Java Script
• Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with deep learning architectures and techniques (e.g., CNNs, RNNs, transformers).
• Solid understanding of algorithms, data structures, and model evaluation methods.
• Experience working with data manipulation libraries like NumPy, pandas, and data visualization tools (e.g., Matplotlib, Seaborn).
• Proficiency in cloud platforms (e.g., AWS, GCP, Azure, Snowflake) and containerization tools (Docker, Kubernetes) is a plus.
• Expertise in AI and machine learning to drive innovative solutions and enhance business operations through Agentic AI technologies
• Proven experience as a BI Developer or in a similar data-focused role.
• Proficiency in BI tools such as Power BI or Qlik.
• Experience working with cross-functional teams to capture business requirements and translate them into actionable technical solutions.
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication skills, with the ability to simplify complex technical concepts for non-technical stakeholders.

Preferred Qualifications:

• Experience in deploying machine learning models into production environments.
• Experience in Generative AI (open AI, Anthropic, Bedrock, Gemeni, Azure Open AI)
• Familiarity with distributed computing frameworks like Spark or Dask.
• Knowledge of MLOps practices and model versioning tools (e.g., MLflow, DVC, Kubeflow).
• Experience with NLP, computer vision, or time-series forecasting is a plus.

We Offer:

• Attractive Base Salary
• Major Medical Expense Plan
• Life insurance
• Saving fund: 10% of your base salary
• Christmas bonus averaging 30 days’ pay for every year
• Grocery & Restaurant vouchers

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