Senior Data Consultant
Apply NowCompany: RICEFW Technologies, Inc.
Location: Burlington, MA 01803
Description:
Please Note: As of July 22, 2021, our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.
Position Overview:
As a Senior Data Consultant specializing in AWS Data Consolidation and Decision Frameworks, you will play a pivotal role in transforming disparate data sources scattered across AWS environments into a cohesive and centralized repository. Leveraging your expertise in AWS services, data architecture, and decision science, you will design and implement scalable solutions to aggregate, integrate, and analyze data, enabling stakeholders to derive actionable insights and drive strategic initiatives. Additionally, you will be responsible for creating a proof of concept (POC) following an assessment, incorporating MongoDB and Apache technologies.
Key Responsibilities:
1. Data Assessment and Consolidation: Conduct a comprehensive assessment of data sources and structures within AWS environments. o Develop strategies to consolidate scattered data into a unified and accessible repository. o Implement data extraction, transformation, and loading (ETL) processes to ensure data integrity and consistency.
2. Architecture Design and Optimization: Design scalable and efficient data architectures leveraging AWS services such as S3, Redshift, Glue, and Athena. o Optimize data pipelines and workflows to streamline data ingestion, processing, and storage. o Implement best practices for data security, compliance, and governance within AWS environments.
3. Proof of Concept Development: Create a proof of concept (POC) based on the assessment findings, incorporating MongoDB and Apache technologies. o Demonstrate the feasibility and effectiveness of the proposed data consolidation and decision framework solutions. Iterate on the POC based on feedback and refine the solution to align with business objectives.
4. Decision Framework Development: Collaborate with business stakeholders to understand strategic objectives and key performance indicators (KPIs).
Required Skills : Qualifications: - Bachelor's or master's degree in computer science, Data Science, Information Systems, or a related field. - 5 years of experience in data engineering, data architecture, or related roles, with a focus on AWS environments. - Strong proficiency in AWS services such as S3, Redshift, Glue, and Athena. - Experience with MongoDB and Apache technologies. - Proven track record of designing and implementing scalable data architectures and ETL processes. - Experience with decision science, predictive modeling, and data visualization tools (e.g., Python, R, Tableau). - Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business insights. - AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty) preferred.
Rank :B1
Requested Date :2024-04-25
Position Overview:
As a Senior Data Consultant specializing in AWS Data Consolidation and Decision Frameworks, you will play a pivotal role in transforming disparate data sources scattered across AWS environments into a cohesive and centralized repository. Leveraging your expertise in AWS services, data architecture, and decision science, you will design and implement scalable solutions to aggregate, integrate, and analyze data, enabling stakeholders to derive actionable insights and drive strategic initiatives. Additionally, you will be responsible for creating a proof of concept (POC) following an assessment, incorporating MongoDB and Apache technologies.
Key Responsibilities:
1. Data Assessment and Consolidation: Conduct a comprehensive assessment of data sources and structures within AWS environments. o Develop strategies to consolidate scattered data into a unified and accessible repository. o Implement data extraction, transformation, and loading (ETL) processes to ensure data integrity and consistency.
2. Architecture Design and Optimization: Design scalable and efficient data architectures leveraging AWS services such as S3, Redshift, Glue, and Athena. o Optimize data pipelines and workflows to streamline data ingestion, processing, and storage. o Implement best practices for data security, compliance, and governance within AWS environments.
3. Proof of Concept Development: Create a proof of concept (POC) based on the assessment findings, incorporating MongoDB and Apache technologies. o Demonstrate the feasibility and effectiveness of the proposed data consolidation and decision framework solutions. Iterate on the POC based on feedback and refine the solution to align with business objectives.
4. Decision Framework Development: Collaborate with business stakeholders to understand strategic objectives and key performance indicators (KPIs).
Required Skills : Qualifications: - Bachelor's or master's degree in computer science, Data Science, Information Systems, or a related field. - 5 years of experience in data engineering, data architecture, or related roles, with a focus on AWS environments. - Strong proficiency in AWS services such as S3, Redshift, Glue, and Athena. - Experience with MongoDB and Apache technologies. - Proven track record of designing and implementing scalable data architectures and ETL processes. - Experience with decision science, predictive modeling, and data visualization tools (e.g., Python, R, Tableau). - Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business insights. - AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty) preferred.
Rank :B1
Requested Date :2024-04-25