AI & Data Engineer
Core
Build scalable data pipelines, data models, and Machine Learning systems in cloud environments to support business transformation.
Role type
Mid-level AI & Data Engineer
Builds
Scalable data pipelines, data models, and ML systems
Domain
Data Engineering & Machine Learning
Deliverable
production ML models
Required skills
SQL, Python, PySpark, Data Modeling, ETL tools, Cloud platforms
Preferred skills
Big data technologies, Databricks, DevOps practices, Data governance frameworks
Technologies
Azure Synapse Analytics, Databricks SQL Warehouse, Snowflake, SQL Server, Big Query, Data Factory, dbt, Airflow, Apache Nifi, Informatica, Azure, AWS, GCP, Apache Hive, Spark, Kafka, Flink, Databricks, Delta Lake, Mlflow, Azure DevOps, Jenkins, GitHub Actions
Responsibilities
Develop and optimize scalable data pipelines and workflows in cloud environments; Support senior data engineers and architects by gathering requirements and defining robust data models and architecture; Apply DevOps practices including Git workflows and CI/CD pipelines; Maintain data quality, security, and governance standards; Collaborate with cross-functional teams to align data solutions with business needs; Research, design, build, and implement Machine Learning systems
Seniority
Mid-level, hands-on IC
