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Lead Data Engineer

3 months ago

Charlotte, United States Compunnel Inc. Full time

Role: Lead Data Engineer- W2 role

Location: Charlotte, NC

Qualification: 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

Responsibilities

The person on 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.