AI & Data Engineer
Core
Design, build, and optimize scalable data pipelines, workflows, and Machine Learning systems in cloud environments to support business transformation.
Role type
Data & AI Engineer
Builds
Scalable data pipelines, ML systems, and data architectures
Domain
Enterprise Data & AI
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, PySpark, data modeling, ETL tools (Data Factory, dbt, Airflow, Apache Nifi, Informatica), cloud platforms (Azure, AWS, GCP), Git, CI/CD
Preferred skills
Big data technologies (Apache Hive, Spark, Kafka, Flink), Databricks (Delta Lake, SQL, MLflow), data governance frameworks, 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 pipeline involvement; 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
Entry to Mid-level, hands-on IC
