55 Warehouses Jobs

As an experienced professional with 5 to 10 years of experience in the field of information technology, you will be responsible for creating data models for corporate analytics in compliance with standards, ensuring usability and conformance across the enterprise. Your role will involve developing data strategies, ensuring vocabulary consistency, and managing data transformations through intricate analytical relationships and access paths, including data mappings at the data-field level. Collaborating with Product Management and Business stakeholders, you will identify and evaluate data sources necessary to achieve project and business objectives. Working closely with Tech Leads and Product Architects, you will gain insights into end-to-end data implications, data integration, and the functioning of business systems. Additionally, you will collaborate with DQ Leads to address data integrity improvements and quality resolutions at the source. This role requires domain knowledge in supply chain, retail, or inventory management. The critical skills needed for this position include a strong understanding of various software platforms and development technologies, proficiency in SQL, RDBMS, Data Lakes, and Warehouses, and knowledge of the Hadoop ecosystem, Azure, ADLS, Kafka, Apache Delta, and Databricks/Spark. Experience with data modeling tools like ERStudio or Erwin would be advantageous. Effective collaboration with Product Managers, Technology teams, and Business Partners, along with familiarity with Agile and DevOps techniques, is essential. Excellent communication skills, both written and verbal, are also key for success in this role. Preferred qualifications for this position include a bachelor's degree in business information technology, computer science, or a related discipline. This is a full-time position located in Bangalore, Bengaluru, Delhi, Kolkata, or Navi Mumbai. If you meet these requirements and are interested in this opportunity, please apply online. The digitalxnode evaluation team will review your resume, and if your profile is selected, they will reach out to you for further steps. We will retain your information in our database for future job openings.,

We are seeking a Marketing Engineer to promote and manage sales for Materials Handling products and Sheet Metal Components, including pallets, trolleys, warehouses, and ASRS storage pallets. Required Candidate profile Develop new automotive customers, handle tech discussions, coordinate with teams, maintain customer relationships, conduct market research, analyze sales data. Travel to customer sites when necessary

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.

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.

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.

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.

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.