AWS Data Engineer with Tableau

2 weeks ago

Charlotte, United States New York Technology Partners Full time

Title: AWS Data Engineer with Tableau

Location: Charlotte, NC (Hybrid)

Duration: Long term contract


Job Description

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 Client.

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.


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.

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