Role : Tableau Developer with Data Engineer
Duration Long Term Contract
Location : Charlotte, NC Hybrid
This is a 50/50 blend between Tableau Development and Data Engineering.
Responsibilities
The person on this role will play a crucial role in building scalable and cost-effective data pipelines, data lakes, and analytics systems for Vanguard.
Data Ingestion: Implement data ingestion processes to collect data from various sources, including databases, streaming data, and external APIs.
Data Transformation: Develop ETL (Extract, Transform, Load) processes to transform and cleanse raw data into a structured and usable format for analysis.
Data Storage: Manage and optimize data storage solutions, including Amazon S3, Redshift, and other AWS storage services.
Data Processing: Utilize AWS services like AWS Glue, Amazon EMR, and AWS Lambda to process and analyze large datasets.
Data Monitoring and Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability.
Integration: Collaborate with data scientists, analysts, and other stakeholders to integrate AWS-based solutions into data analytics and reporting platforms.
Documentation: Maintain thorough documentation of data engineering processes, data flows, and system configurations.
Scalability: Design AWS-based solutions that can scale to accommodate growing data volumes and changing business requirements.
Cost Management: Implement cost-effective solutions by optimizing resource usage and recommending cost-saving measures.
Troubleshooting: Diagnose and resolve AWS-related issues to minimize downtime and disruptions.
Qualifications
Must Have:
Strong experience with AWS services on big data platforms.
Strong Python experience in building Dash application in AWS
Spark
Shell scripting and Linux knowledge
Nice to have:
Investment Knowledge preferred
Looking for candidates who have worked in Investment/Finance space
Machine Learning Skills
Qualifications:
Educational Background: A bachelor's degree in computer science, information technology, or a related field is typically required.
A master's degree is preferred with GPA of 3.8+
Problem-Solving:
Strong analytical and problem-solving skills to address complex data engineering challenges.
Communication Skills:
Effective communication and collaboration skills to work with cross-functional teams.
Tableau Developer Data Engineer