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 (Tableau & AI Data Pipelines)
Builds
ETL/ELT pipelines, data lakes/warehouses, Tableau dashboards, and ML data preparation infrastructure
Domain
Data Engineering, Data Visualization, AI/ML Data Support
Required skills
Python, SQL, NoSQL, Tableau, Data Warehousing, Spark/PySpark, 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
Tableau, Python, SQL, MongoDB, Databricks, Spark, PySpark, pandas, AWS, Azure, GCP, ELK, Redis, Flask, scikit-learn
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Build and optimize data storage solutions; Develop Tableau dashboards and reports; Support AI/ML workflows with data preparation and feature engineering; Write unit and integration tests for pipeline reliability
Seniority
Mid-Senior, hands-on IC