Data Engineer Tableau
Core
Design, build, and maintain scalable data pipelines and infrastructure while creating Tableau dashboards to support AI-assisted data workflows and client decision-making.
Role type
Data Engineer (ETL/ELT, Data Visualization, AI Data Support)
Builds
Scalable ETL/ELT pipelines, data lakes/warehouses, Tableau dashboards, and data pipelines for ML/AI workflows.
Domain
Data Engineering, Data Visualization, AI/ML Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, NoSQL, Tableau, Data Warehousing, PySpark, pandas, Cloud Platforms (AWS/Azure/GCP), Linux/Shell Scripting, Git
Preferred skills
Feature engineering, Vector databases, Prompt engineering, ELK stack, Redis, Distributed task queues, Flask, scikit-learn
Technologies
Python, SQL, MongoDB, Databricks, Spark, PySpark, pandas, Tableau, AWS, Azure, GCP, ELK stack, Redis, Flask, scikit-learn, pytest
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Build and optimize data storage solutions; Integrate structured and unstructured data; Build and maintain Tableau dashboards and reports; Support AI/ML workflows by building data pipelines for model training and inference; Write unit and integration tests to validate pipeline reliability.
Seniority
Mid-level (3+ years experience)
