Lead Data Engineer

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Pay Range: $55hr - $60hr
Responsibilities: To architect| design and develop (through Team) solution for product/project & sustenance delivery. To support as an SME. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements To train and develop team so as to ensure that there is an adequate supply of trained Client in the said technology and deliver risks are mitigated To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology. To review project deliverables. To recommend client value creation initiatives and implement industry best practices (on specific technology/product). Additional Requirement: Design and implement data pipelines to extract, transform, and load data from various sources into a data warehouse. Develop and maintain data models and schemas to support business intelligence and analytics applications. Optimize data storage and retrieval systems for performance and scalability. Collaborate with data scientists and analysts to develop and deploy machine learning models and algorithms. Implement data governance policies and procedures to ensure data quality, security, and compliance. Develop and maintain ETL workflows using tools. Design and implement data integration solutions for third-party applications and services. Conduct performance tuning and optimization of database systems and queries Mentor and train junior data engineers and other team members on best practices and emerging technologies in data engineering. Building and managing DevOpsDataOps CICD pipelines and automated deployments. Prepare technical design documents and SLA agreements.
Location:
Chicago

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