Al Karaptian’s Post

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.

Big Data Architect Job Opportunity THIS IS NOT OPEN TO CONSULTING COMPANIES AND THEIR CONSULTANTS ON C2C. Rate:               $140-145/hr. C2C/1099 Duration:         3 Month Contract to Hire 100% Remote Please email resume to: al@eQuestSolutions.com This is an outstanding opportunity for a Big Data Architect design and build out a Big Data Architecture from the ground up with their preferred models, technologies and tools that will determine the success of our DaaS (Data as a Service) startup company We are a DaaS (Data as a Service) company utilizing AI concepts and Data Science to create optimization solutions and are looking for a Big Data Data Architect. We believe in a growth mindset and lead with inclusion and value diversity of experience and perspectives to create more robust products and a more beautiful world. We are VC funded for a total of $24.5M to date and have been in business for 5+ years. The Big Data Architect will be responsible for gaining a thorough understanding of our business model, revenue streams and products. Based on this knowledge, the Big Data Architect will design, develop and implement robust, scalable and high-performance modern Big Data solutions based on their preferred technologies. This role requires a deep understanding of complex data sets, Big Data technologies, Data Modeling, Data Integration and Data Warehousing. Responsibilities: Architecture Design: Develop the overall Big Data architecture including data ingestion, processing, storage and retrieval for complex data sets. Data Modeling: Design and implement data models, schemas, workflows, mining and metadata standards to support business requirements, ensure data quality and consistency, create insights and generate new intellectual property. Technology Selection: Evaluate and select appropriate Big Data technologies and tools based on personal preferences, project needs and performance requirements. Create a road map and short term and long-term plans for Executive Management presentation. Data Integration: Design and implement data integration processes to consolidate data from several external and internal sources into a centralized repository. Performance Optimization: Identify and implement Big Data optimization strategies for performance, scalability and cost-efficiency. Cloud Integration: Integrate Big Data solutions with cloud platforms (e.g., AWS, Azure, GCP) to leverage cloud-based services and infrastructure. Requirements: 5+ years of experience in Big Data architecture and design. Strong proficiency in Big Data technologies (i.e. Apache Hadoop, Spark, Kafka, Airflow and Hive, Elasticsearch, Databricks, KNIME, Presto, NiFi, NoSQL etc.). Expertise in data modeling and data warehousing concepts and ETL processes and pipelines Experience with cloud platforms (i.e. AWS, Azure, GCP) is preferred.