Bachelor’s or Master’s in Computer Science, Engineering, or related field, with 6+ years in data engineering, analytics, or application development., Proven experience designing and delivering data models and analytics products for business domains such as finance, sales, supply chain, and operations., Strong Python development skills, including experience with frameworks for data processing, machine learning, and application development (e.g., FastAPI, Flask, PySpark, TensorFlow, scikit-learn)., Hands-on experience with cloud data platforms (Snowflake, Databricks, Azure), and modern data pipeline tools (dbt, Dagster, Airflow)., Expertise in data modelling, ETL/ELT, and integrating business systems (ERP, CRM, CPQ) as well as unstructured data (images, text, graphs)., Experience deploying and maintaining machine learning models in production environments., Skilled in stakeholder management, balancing short-term deliverables with long-term strategy., Familiarity with DevOps, CI/CD, and agile development practices., Certifications in Azure, Snowflake, Databricks, or relevant AI/ML technologies., Experience with big data technologies (Spark, Kafka, Delta Lake)., Knowledge of data governance, security, and compliance frameworks., Experience developing user-facing applications or dashboards (e.g., Streamlit, Dash, Power BI).

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