| AWS Data Engineer :: Hybrid in Charlotte, NC :: No H1B at Charlotte, North Carolina, USA |
| Email: [email protected] |
| From: Priya, KPG99 [email protected] Reply to: [email protected] Hey, Please read the below requirements and share your resume and also please let me know your current location and visa location if you are interested. AWS Data Engineer Hybrid in Charlotte, NC No H1B Job Description The person in this role will play a crucial role in building scalable and cost-effective data pipelines, data lakes, and analytics systems. 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. -- Keywords: sthree North Carolina AWS Data Engineer :: Hybrid in Charlotte, NC :: No H1B [email protected] |
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| Fri Jun 07 01:20:00 UTC 2024 |