55 Warehouses Jobs - Page 3

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.