The Martin-Brower Company, L.L.C.
SCIS Senior Data Engineer Information Technology and Technical Support Rosemont,
The Martin-Brower Company, L.L.C., Des Plaines, Illinois, us, 60019
Overview
Employer: The Martin-Brower Company LLC Job Title: SCIS Sr. Data Engineer Location: 6250 N. River Road, Suite 9000 Rosemont, IL, 60018. Rate of Pay: $136,216 per year Description: Design and develop Global ETL/ELT pipelines to support the expansion and utility of the Martin Brower Global Data Warehouse. In addition, this role will provide maintenance and support of Global Data Engineering solutions to ensure reliability, consistency, and relevancy of those solutions across the supply chain. As a Senior resource, this role will provide technical thought leadership to the rest of the Engineering team, taking ownership to identify and resolve support challenges, implement continuous improvement initiatives, and helping to mentor other team members. Build data pipelines for optimal extraction, transformation and loading of data from a wide variety of data sources using Azure and/or Snowflake cloud development tools. Assemble large, complex data sets that meet functional / non-functional business requirements. Provide operational support for production ETL/ELT pipelines and related processes as needed. Facilitate production deployment of Data Engineering code/pipelines. Provide guidance to other Data Engineers on the team, ensuring the team’s standard development process is understood, adopted and enforced. Contribute to and help deliver continuous improvement initiatives designed to improve reliability, quality and scalability of Data Engineering solutions. Establish strong, strategic partnerships with key IT contacts, supply chain partners, external vendors and business end users. Participate in Martin Brower global data governance processes to ensure data is both managed and used consistently and is compliant with enterprise standards. Participate in strategic planning and execution for global projects as appropriate. Guiding and mentoring the other Data Engineers on the team. Contribute to and help deliver continuous improvement initiatives designed to improve the reliability, quality, and scalability of data engineering solutions. Other projects or duties as assigned. Telecommuting is permitted one day per week, on Fridays. Responsibilities
Design and develop Global ETL/ELT pipelines to support the Global Data Warehouse. Provide maintenance and support of Global Data Engineering solutions for reliability, consistency, and relevancy across the supply chain. Provide technical leadership, own support challenges, drive continuous improvement, and mentor other team members. Build data pipelines for extraction, transformation, and loading from diverse data sources using Azure and/or Snowflake. Assemble large, complex data sets meeting functional and non-functional requirements. Provide operational support for production ETL/ELT pipelines and related processes. Facilitate production deployment of Data Engineering code/pipelines. Guide and assist Data Engineers in following standard development processes. Contribute to continuous improvement initiatives to improve reliability, quality, and scalability. Establish partnerships with IT, supply chain partners, vendors, and business end users. Participate in global data governance and ensure compliance with enterprise standards. Participate in strategic planning and execution for global projects. Mentor other Data Engineers and support team growth. Support other projects or duties as assigned. Telecommuting is permitted one day per week (Fridays). Qualifications
Bachelor’s degree, or foreign equivalent, in Computer Science, Information Systems, Information Technology, or a related field. 4 years of experience in Data Engineering or a related role within a global or multinational organization. SQL knowledge and experience with relational databases, data warehouses, and Oracle, SQL Server, Snowflake. Experience with cloud-based ETL/ELT tools using Azure Data Factory, Azure Data Lake Storage Gen2, ADF Mapping Data Flows, Pipelines, Azure Functions, Triggers, and Alerts. Experience architecting and building ETL/ELT pipelines using Azure Data Factory, Snowflake, and Python cloud tools. Knowledge of traditional data warehousing and modern big data concepts, Kimball methodology, and dimensional/fact modeling. ETL/SQL source code configuration management using Azure Git/GitHub. Experience with production deployments and release management using Azure DevOps. Technical support experience, including root cause analysis and incident management with ServiceNow. Understanding of Supply Chain practices and metrics (e.g., DC Supply Planning, Restaurant Order Planning, Supplier Relationship Management) and related metrics. Experience with Power BI and data governance tools such as Data.World. Experience with advanced analytics, streaming analytics, predictive algorithms, and machine learning. Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings. Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments. Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening. Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.
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Employer: The Martin-Brower Company LLC Job Title: SCIS Sr. Data Engineer Location: 6250 N. River Road, Suite 9000 Rosemont, IL, 60018. Rate of Pay: $136,216 per year Description: Design and develop Global ETL/ELT pipelines to support the expansion and utility of the Martin Brower Global Data Warehouse. In addition, this role will provide maintenance and support of Global Data Engineering solutions to ensure reliability, consistency, and relevancy of those solutions across the supply chain. As a Senior resource, this role will provide technical thought leadership to the rest of the Engineering team, taking ownership to identify and resolve support challenges, implement continuous improvement initiatives, and helping to mentor other team members. Build data pipelines for optimal extraction, transformation and loading of data from a wide variety of data sources using Azure and/or Snowflake cloud development tools. Assemble large, complex data sets that meet functional / non-functional business requirements. Provide operational support for production ETL/ELT pipelines and related processes as needed. Facilitate production deployment of Data Engineering code/pipelines. Provide guidance to other Data Engineers on the team, ensuring the team’s standard development process is understood, adopted and enforced. Contribute to and help deliver continuous improvement initiatives designed to improve reliability, quality and scalability of Data Engineering solutions. Establish strong, strategic partnerships with key IT contacts, supply chain partners, external vendors and business end users. Participate in Martin Brower global data governance processes to ensure data is both managed and used consistently and is compliant with enterprise standards. Participate in strategic planning and execution for global projects as appropriate. Guiding and mentoring the other Data Engineers on the team. Contribute to and help deliver continuous improvement initiatives designed to improve the reliability, quality, and scalability of data engineering solutions. Other projects or duties as assigned. Telecommuting is permitted one day per week, on Fridays. Responsibilities
Design and develop Global ETL/ELT pipelines to support the Global Data Warehouse. Provide maintenance and support of Global Data Engineering solutions for reliability, consistency, and relevancy across the supply chain. Provide technical leadership, own support challenges, drive continuous improvement, and mentor other team members. Build data pipelines for extraction, transformation, and loading from diverse data sources using Azure and/or Snowflake. Assemble large, complex data sets meeting functional and non-functional requirements. Provide operational support for production ETL/ELT pipelines and related processes. Facilitate production deployment of Data Engineering code/pipelines. Guide and assist Data Engineers in following standard development processes. Contribute to continuous improvement initiatives to improve reliability, quality, and scalability. Establish partnerships with IT, supply chain partners, vendors, and business end users. Participate in global data governance and ensure compliance with enterprise standards. Participate in strategic planning and execution for global projects. Mentor other Data Engineers and support team growth. Support other projects or duties as assigned. Telecommuting is permitted one day per week (Fridays). Qualifications
Bachelor’s degree, or foreign equivalent, in Computer Science, Information Systems, Information Technology, or a related field. 4 years of experience in Data Engineering or a related role within a global or multinational organization. SQL knowledge and experience with relational databases, data warehouses, and Oracle, SQL Server, Snowflake. Experience with cloud-based ETL/ELT tools using Azure Data Factory, Azure Data Lake Storage Gen2, ADF Mapping Data Flows, Pipelines, Azure Functions, Triggers, and Alerts. Experience architecting and building ETL/ELT pipelines using Azure Data Factory, Snowflake, and Python cloud tools. Knowledge of traditional data warehousing and modern big data concepts, Kimball methodology, and dimensional/fact modeling. ETL/SQL source code configuration management using Azure Git/GitHub. Experience with production deployments and release management using Azure DevOps. Technical support experience, including root cause analysis and incident management with ServiceNow. Understanding of Supply Chain practices and metrics (e.g., DC Supply Planning, Restaurant Order Planning, Supplier Relationship Management) and related metrics. Experience with Power BI and data governance tools such as Data.World. Experience with advanced analytics, streaming analytics, predictive algorithms, and machine learning. Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings. Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments. Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening. Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.
#J-18808-Ljbffr