We are looking for a Master Data Management (MDM) Engineer for the Enterprise Data Organization to build and maintain MDM data products across multiple data domains that will support key data consolidation and governance initiatives. The candidate will be required to possess strong technical, functional and collaborative skills to be successful in a multi stakeholder environment. Job Description:Responsibilities:<ul><li>Design, develop and maintain MDM solutions and data products on EBX.</li><li>Understand requirements from business stewards from across various brands to develop and support stewardship workflows in EBX.</li><li>Work with product vendors (Tibco) for various technical troubleshooting, product patches.</li><li>Ability to work with Product Analyst and QA resources to create development documents; understand UAT acceptance criterion.</li><li>Communicate with multiple stakeholders within the team.</li><li>Develop semantic models, workflows, configure EBX UI and unit test; document test results.</li><li>Seek knowledge from senior engineers, ask questions, and seek feedback to improve skills and understanding.</li></ul> Education And Experience Requirements:<ul><li>Four-year degree in Information Systems, Finance / Mathematics, Computer Science or similar</li><li>2-4 years of total IT experience</li><li>1-2 years of Data Management experience with 1-2 years of development experience in EBX</li></ul> Required Knowledge, Skills Or Abilities:<ul><li>Experience working in Tibco EBX above version 5.9.x and above.</li><li>At least 1-2 years of experience in EBX is required.</li><li>Creation of Data models, simple workflows on EBX</li><li>Have concepts in Data Governance and implementation through EBX workflows.</li><li>Decent skills to work on Linux or Windows platforms.</li><li>Ability to write SQL queries.</li><li>Performing Unit testing of EBX work products, Supporting QA and UAT testing.</li></ul> Good To Have Skills:<ul><li>Knowledge of basic concepts in Data Quality and Reference Data management</li><li>Experience in Java-J2EE would be considered a plus.</li><li>SQL and / or Snowflake experience would be a plus</li><li>Experience with Azure Devops or Github is a plus.</li><li>Experience in the hospitality industry is a plus.</li></ul>

JOB DESCRIPTION:RESPONSIBILITIES:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views. </li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components </li><li>Support and troubleshoot the data environment (including periodically on call) </li><li>Document technical artifacts for developed solutions </li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships </li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills </li><li>Proactive approach to problem solving with effective influencing skills </li><li>Familiar with Agile practices and methodologies </li></ul> EDUCATION AND EXPERIENCE REQUIREMENTS: <ul><li>Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar </li><li>4- 6 years of experience in Data Engineering </li></ul> REQUIRED KNOWLEDGE, SKILLS or ABILITIES:<ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views </li><li>Focus on ELT to load data into database and perform transformations in database </li><li>Ability to use analytical SQL functions </li><li>Snowflake experience a plus </li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming </li><li>Experience with DevOps models utilizing a CI/CD tool </li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) </li><li>Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred </li><li>Analyze data models </li><li>We are looking for a Senior Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills.</li></ul>

Job Description: Responsibilities: <ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views. </li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components </li><li>Support and troubleshoot the data environment (including periodically on call) </li><li>Document technical artifacts for developed solutions </li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships </li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills </li><li>Proactive approach to problem solving with effective influencing skills </li><li>Familiar with Agile practices and methodologies </li></ul> Education And Experience Requirements: <ul><li>Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar </li><li>4- 6 years of experience in Data Engineering </li></ul> Required Knowledge, Skills Or Abilities:<ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views </li><li>Focus on ELT to load data into database and perform transformations in database </li><li>Ability to use analytical SQL functions </li><li>Snowflake experience a plus </li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming </li><li>Experience with DevOps models utilizing a CI/CD tool </li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) </li><li>Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred </li><li>Analyze data models </li><li>We are looking for a Senior Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills.</li></ul>

We are looking for a Master Data Management (MDM) Engineer for the Enterprise Data Organization to build and maintain MDM data products across multiple data domains that will support key data consolidation and governance initiatives. The candidate will be required to possess strong technical, functional and collaborative skills to be successful in a multi stakeholder environment. Job Description: Responsibilities:<ul><li>Design, develop and maintain MDM solutions and data products on EBX.</li><li>Understand requirements from business stewards from across various brands to develop and support stewardship workflows in EBX.</li><li>Work with product vendors (Tibco) for various technical troubleshooting, product patches.</li><li>Ability to work with Product Analyst and QA resources to create development documents; understand UAT acceptance criterion.</li><li>Communicate with multiple stakeholders within the team.</li><li>Develop semantic models, workflows, configure EBX UI and unit test; document test results.</li><li>Seek knowledge from senior engineers, ask questions, and seek feedback to improve skills and understanding.</li></ul> Education And Experience Requirements:<ul><li>Four-year degree in Information Systems, Finance / Mathematics, Computer Science or similar</li><li>2-4 years of total IT experience</li><li>1-2 years of Data Management experience with 1-2 years of development experience in EBX</li></ul> Required Knowledge, Skills Or Abilities:<ul><li>Experience working in Tibco EBX above version 5.9.x and above.</li><li>At least 1-2 years of experience in EBX is required.</li><li>Creation of Data models, simple workflows on EBX</li><li>Have concepts in Data Governance and implementation through EBX workflows.</li><li>Decent skills to work on Linux or Windows platforms.</li><li>Ability to write SQL queries.</li><li>Performing Unit testing of EBX work products, Supporting QA and UAT testing.</li></ul> Good To Have Skills:<ul><li>Knowledge of basic concepts in Data Quality and Reference Data management</li><li>Experience in Java-J2EE would be considered a plus.</li><li>SQL and / or Snowflake experience would be a plus</li><li>Experience with Azure Devops or Github is a plus.</li><li>Experience in the hospitality industry is a plus.</li></ul>

Responsibilities:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views. </li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components. </li><li>Support and troubleshoot the data environment (including periodically on call) </li><li>Document technical artifacts for developed solutions. </li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships. </li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills. </li><li>Proactive approach to problem solving with effective influencing skills. </li><li>Familiar with Agile practices and methodologies.</li></ul>Education and Experience Qualifications: <ul><li>Four year degree in Information Systems, Finance/Mathematics, Computer Science or similar </li><li>2-4 years of experience in Data Engineering. </li></ul>Required Knowledge, Skills or Abilities:Mandatory: <ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views. </li><li>Focus on ELT to load data into the database and perform transformations in the database. </li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required. </li><li>Data modeling, analysis, and programming (Python) are a must. </li><li>Talend, Apache Airflow, Azure Data Factory, Control - M or any orchestration tools.</li></ul>Good to have: <ul><li>Experience with DevOps models utilizing a CI/CD tool. </li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) </li><li>Analyze data models</li></ul>

Key Responsibilities:We are looking for a Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will be required to possess strong technical, analytical, programming and critical thinking skills.Responsibilities:<ul><li>Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views.</li><li>Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components</li><li>Support and troubleshoot the data environment (including periodically on call)</li><li>Document technical artifacts for developed solutions</li><li>Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships</li><li>Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills</li><li>Proactive approach to problem solving with effective influencing skills</li><li>Familiar with Agile practices and methodologies</li></ul>Education and Experience Qualifications:<ul><li>Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar</li><li>2-4 years of experience in Data Engineering</li></ul>REQUIRED KNOWLEDGE, SKILLS or ABILITIESMandatory:<ul><li>Advanced SQL queries, scripts, stored procedures, materialized views, and views.</li><li>Focus on ELT to load data into the database and perform transformations in the database.</li><li>Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required.</li><li>Data modeling, analysis, and programming(Python) are a must</li></ul>Good to have:<ul><li>Experience with DevOps models utilizing a CI/CD tool</li><li>Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)</li><li>Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred</li><li>Analyze data models</li></ul>

Data Engineer Inspire Jobs

Data Engineer Mdm T50011251
April 25, 2024

Senior Data Engineer T50011248
April 17, 2024

Senior Data Engineer T50011280
April 17, 2024

Data Engineer Mdm T50011240
April 15, 2024

Data Engineer T50011165
April 13, 2024

Data Engineer T50011160
April 3, 2024

Quick filters

Top companies

Data Engineer Inspire Jobs

Data Engineer Mdm T50011251April 25, 2024

Senior Data Engineer T50011248April 17, 2024

Senior Data Engineer T50011280April 17, 2024

Data Engineer Mdm T50011240April 15, 2024

Data Engineer T50011165April 13, 2024

Data Engineer T50011160April 3, 2024