Data Engineer
Core
Design, develop, implement, and optimize data engineering solutions for reliable information integration, transformation, and availability to support analytical, operational, and strategic initiatives.
Role type
Data Engineer
Builds
Data pipelines, data lake and warehouse architectures, and cloud-based data processing solutions
Domain
Cloud Data Engineering
Deliverable
production ML models
Required skills
Python (Pandas, PySpark), SQL, Azure Cloud (Blob Storage, SQL Server), Google Cloud Platform (BigQuery), Apache Airflow, ETL/ELT, Data Modeling, CI/CD, Git/GitHub
Preferred skills
Agentic Engineering tools, Data migration experience, Walmart Cloud (WCNP) experience
Technologies
Python, PySpark, Pandas, SQL, Azure, GCP, BigQuery, Airflow, Git, GitHub
Responsibilities
Design and maintain robust ETL/ELT pipelines; Develop data processing solutions using Python; Administer and optimize Azure Cloud and GCP platforms; Orchestrate workflows using Airflow; Design and maintain data models aligned with business requirements; Participate in Data Lake and Data Warehouse architecture evolution; Implement CI/CD processes; Monitor and optimize data performance and quality; Collaborate with Analytics, BI, and Data Science teams.
Seniority
Mid-level (3-5 years experience)
