21 Warehousing jobs in Narela
Data Engineering Lead (Data Warehousing & AI/ML Workloads)
Posted 2 days ago
Job Viewed
Job Description
Compensation: Competitive, based on experience
About the Role
Our client is seeking a Data Engineering Lead to design, develop, and maintain enterprise data architectures and pipelines. This is a hands-on leadership role that combines technical expertise with mentoring and coaching a team of data engineers. You will work with a modern and diverse technology stack, including SAP HANA, PostgreSQL, BigQuery, Vertex AI, Fivetran, and Cloud Composer, to power data warehousing, analytics, and AI/ML initiatives across the organization.
Key Responsibilities
Lead, mentor, and manage a team of data engineers, driving technical excellence and continuous improvement.
Design and implement scalable data architectures and pipelines for enterprise data platforms.
Translate business requirements into robust technical solutions, collaborating with cross-functional stakeholders.
Define and enforce data engineering best practices, coding standards, and documentation.
Develop and optimize ETL/ELT/CDC workflows using Fivetran, Cloud Composer, and related tools.
Manage and administer database systems, including BigQuery, SAP HANA, and PostgreSQL.
Ensure data quality, integrity, and security across platforms.
Partner with AI/ML teams to design feature stores and serving layers supporting Vertex AI workloads.
Implement data governance, master data management, and data cataloging strategies.
Troubleshoot and resolve data platform issues to ensure high availability and performance.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or related field.
Proven leadership or senior-level experience mentoring and guiding data engineers.
Proficiency in Python or Go (backend development experience required).
Expertise in building RESTful APIs and microservices for data delivery.
Strong knowledge of data modeling (Kimball, Inmon) and SQL.
Experience with SQL and NoSQL databases, data warehousing concepts, and CDC.
Familiarity with Git, CI/CD pipelines, and modern engineering workflows.
Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
Hands-on experience deploying production-grade data warehouses.
Deep experience with Google Cloud Platform : BigQuery, Cloud Composer, and Vertex AI.
Familiarity with data ingestion tools (e.g., Fivetran) and BI platforms (Power BI, Tableau).
Experience with SAP HANA, data governance frameworks, and MLOps practices.
Contributions to open-source or technical writing a plus.
Data Engineering Lead (Data Warehousing & AI/ML Workloads)
Posted 2 days ago
Job Viewed
Job Description
Employment Type: Full-time, Employee
Compensation: Competitive, based on experience
About the Role
Our client is seeking a Data Engineering Lead to design, develop, and maintain enterprise data architectures and pipelines. This is a hands-on leadership role that combines technical expertise with mentoring and coaching a team of data engineers. You will work with a modern and diverse technology stack, including SAP HANA, PostgreSQL, BigQuery, Vertex AI, Fivetran, and Cloud Composer, to power data warehousing, analytics, and AI/ML initiatives across the organization.
Key Responsibilities
- Lead, mentor, and manage a team of data engineers, driving technical excellence and continuous improvement.
- Design and implement scalable data architectures and pipelines for enterprise data platforms.
- Translate business requirements into robust technical solutions, collaborating with cross-functional stakeholders.
- Define and enforce data engineering best practices, coding standards, and documentation.
- Develop and optimize ETL/ELT/CDC workflows using Fivetran, Cloud Composer, and related tools.
- Manage and administer database systems, including BigQuery, SAP HANA, and PostgreSQL.
- Ensure data quality, integrity, and security across platforms.
- Partner with AI/ML teams to design feature stores and serving layers supporting Vertex AI workloads.
- Implement data governance, master data management, and data cataloging strategies.
- Troubleshoot and resolve data platform issues to ensure high availability and performance.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or related field.
- Proven leadership or senior-level experience mentoring and guiding data engineers.
- Proficiency in Python or Go (backend development experience required).
- Expertise in building RESTful APIs and microservices for data delivery.
- Strong knowledge of data modeling (Kimball, Inmon) and SQL.
- Experience with SQL and NoSQL databases, data warehousing concepts, and CDC.
- Familiarity with Git, CI/CD pipelines, and modern engineering workflows.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Hands-on experience deploying production-grade data warehouses.
- Deep experience with Google Cloud Platform : BigQuery, Cloud Composer, and Vertex AI.
- Familiarity with data ingestion tools (e.g., Fivetran) and BI platforms (Power BI, Tableau).
- Experience with SAP HANA, data governance frameworks, and MLOps practices.
- Contributions to open-source or technical writing a plus.
Data Engineering Lead (Data Warehousing & AI/ML Workloads)
Posted 2 days ago
Job Viewed
Job Description
Employment Type: Full-time, Employee
Compensation: Competitive, based on experience
About the Role
Our client is seeking a Data Engineering Lead to design, develop, and maintain enterprise data architectures and pipelines. This is a hands-on leadership role that combines technical expertise with mentoring and coaching a team of data engineers. You will work with a modern and diverse technology stack, including SAP HANA, PostgreSQL, BigQuery, Vertex AI, Fivetran, and Cloud Composer, to power data warehousing, analytics, and AI/ML initiatives across the organization.
Key Responsibilities
- Lead, mentor, and manage a team of data engineers, driving technical excellence and continuous improvement.
- Design and implement scalable data architectures and pipelines for enterprise data platforms.
- Translate business requirements into robust technical solutions, collaborating with cross-functional stakeholders.
- Define and enforce data engineering best practices, coding standards, and documentation.
- Develop and optimize ETL/ELT/CDC workflows using Fivetran, Cloud Composer, and related tools.
- Manage and administer database systems, including BigQuery, SAP HANA, and PostgreSQL.
- Ensure data quality, integrity, and security across platforms.
- Partner with AI/ML teams to design feature stores and serving layers supporting Vertex AI workloads.
- Implement data governance, master data management, and data cataloging strategies.
- Troubleshoot and resolve data platform issues to ensure high availability and performance.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or related field.
- Proven leadership or senior-level experience mentoring and guiding data engineers.
- Proficiency in Python or Go (backend development experience required).
- Expertise in building RESTful APIs and microservices for data delivery.
- Strong knowledge of data modeling (Kimball, Inmon) and SQL.
- Experience with SQL and NoSQL databases, data warehousing concepts, and CDC.
- Familiarity with Git, CI/CD pipelines, and modern engineering workflows.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Hands-on experience deploying production-grade data warehouses.
- Deep experience with Google Cloud Platform : BigQuery, Cloud Composer, and Vertex AI.
- Familiarity with data ingestion tools (e.g., Fivetran) and BI platforms (Power BI, Tableau).
- Experience with SAP HANA, data governance frameworks, and MLOps practices.
- Contributions to open-source or technical writing a plus.
Supply Chain Manager
Posted 1 day ago
Job Viewed
Job Description
A Supply Chain Manager oversees and optimizes the end-to-end supply chain process, ensuring efficient procurement, production, storage, and distribution of goods.
They coordinate with suppliers, manufacturers, and logistics providers to deliver products on time, at the right cost, and with the required quality.
Responsibilities:
Develop and implement supply chain strategies to improve efficiency and reduce costs.
Manage procurement, inventory control, and logistics operations.
Negotiate contracts and maintain relationships with suppliers and vendors.
Monitor demand forecasts, production schedules, and delivery timelines.
Ensure compliance with regulations, safety standards, and company policies.
Analyze supply chain data to identify trends, risks, and opportunities for improvement.
Collaborate with cross-functional teams, including manufacturing, sales, and finance.
Implement technology solutions to enhance supply chain visibility and performance.
Required Skills & Qualifications:
Bachelor’s degree in Supply Chain Management, Logistics, Business Administration, or related field (Master’s preferred).
Proven experience in supply chain operations and management.
Strong knowledge of inventory management, procurement practices, and logistics systems.
Proficiency in ERP systems and supply chain analytics tools.
Excellent negotiation, problem-solving, and organizational skills.
Ability to work under pressure and meet deadlines in a fast-paced environment.
Work Environment:
Supply Chain Managers work in diverse industries such as manufacturing, retail, e-commerce, and logistics.
The role may require occasional travel to supplier sites, warehouses, and distribution centers.
Supply Chain Specialist
Posted 2 days ago
Job Viewed
Job Description
The Supply Chain Analyst will be responsible for analyzing and improving supply chain processes to ensure efficient procurement, production, and distribution. The role involves using data analytics, forecasting, and process optimization techniques to enhance supply chain performance and support strategic business decisions.
Key Responsibilities:
Analyze supply chain data to identify trends, inefficiencies, and opportunities for cost savings.
Monitor inventory levels and recommend adjustments to prevent stockouts or overstock situations.
Work with procurement, logistics, and production teams to optimize supply chain operations.
Develop forecasting models for demand planning and inventory management.
Evaluate supplier performance and identify areas for improvement.
Collaborate with cross-functional teams to streamline supply chain workflows.
Prepare regular reports on KPIs, such as order accuracy, lead times, and transportation costs.
Support implementation of supply chain software and tools.
Conduct risk assessments to minimize supply chain disruptions.
Stay updated with market trends, new technologies, and industry best practices.
Required Skills & Qualifications:
Bachelor’s degree in Supply Chain Management, Logistics, Business, or a related field.
Proven experience in supply chain analytics, logistics, or procurement.
Strong analytical and problem-solving skills.
Proficiency in supply chain management software (e.g., SAP, Oracle, or similar) and advanced Excel.
Knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.
Excellent communication and collaboration skills.
Ability to work under pressure and meet deadlines.
Preferred Qualifications:
Certification in supply chain (e.g., CSCP, CPIM) is an advantage.
Experience with automation tools and data analysis techniques.
Familiarity with global trade regulations and compliance.
Supply Chain Specialist
Posted 2 days ago
Job Viewed
Job Description
Job Summary:
The Supply Chain Analyst will be responsible for analyzing and improving supply chain processes to ensure efficient procurement, production, and distribution. The role involves using data analytics, forecasting, and process optimization techniques to enhance supply chain performance and support strategic business decisions.
Key Responsibilities:
- Analyze supply chain data to identify trends, inefficiencies, and opportunities for cost savings.
- Monitor inventory levels and recommend adjustments to prevent stockouts or overstock situations.
- Work with procurement, logistics, and production teams to optimize supply chain operations.
- Develop forecasting models for demand planning and inventory management.
- Evaluate supplier performance and identify areas for improvement.
- Collaborate with cross-functional teams to streamline supply chain workflows.
- Prepare regular reports on KPIs, such as order accuracy, lead times, and transportation costs.
- Support implementation of supply chain software and tools.
- Conduct risk assessments to minimize supply chain disruptions.
- Stay updated with market trends, new technologies, and industry best practices.
Required Skills & Qualifications:
- Bachelor’s degree in Supply Chain Management, Logistics, Business, or a related field.
- Proven experience in supply chain analytics, logistics, or procurement.
- Strong analytical and problem-solving skills.
- Proficiency in supply chain management software (e.g., SAP, Oracle, or similar) and advanced Excel.
- Knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.
- Excellent communication and collaboration skills.
- Ability to work under pressure and meet deadlines.
Preferred Qualifications:
- Certification in supply chain (e.g., CSCP, CPIM) is an advantage.
- Experience with automation tools and data analysis techniques.
- Familiarity with global trade regulations and compliance.
Supply Chain Specialist
Posted 2 days ago
Job Viewed
Job Description
Job Summary:
The Supply Chain Analyst will be responsible for analyzing and improving supply chain processes to ensure efficient procurement, production, and distribution. The role involves using data analytics, forecasting, and process optimization techniques to enhance supply chain performance and support strategic business decisions.
Key Responsibilities:
- Analyze supply chain data to identify trends, inefficiencies, and opportunities for cost savings.
- Monitor inventory levels and recommend adjustments to prevent stockouts or overstock situations.
- Work with procurement, logistics, and production teams to optimize supply chain operations.
- Develop forecasting models for demand planning and inventory management.
- Evaluate supplier performance and identify areas for improvement.
- Collaborate with cross-functional teams to streamline supply chain workflows.
- Prepare regular reports on KPIs, such as order accuracy, lead times, and transportation costs.
- Support implementation of supply chain software and tools.
- Conduct risk assessments to minimize supply chain disruptions.
- Stay updated with market trends, new technologies, and industry best practices.
Required Skills & Qualifications:
- Bachelor’s degree in Supply Chain Management, Logistics, Business, or a related field.
- Proven experience in supply chain analytics, logistics, or procurement.
- Strong analytical and problem-solving skills.
- Proficiency in supply chain management software (e.g., SAP, Oracle, or similar) and advanced Excel.
- Knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.
- Excellent communication and collaboration skills.
- Ability to work under pressure and meet deadlines.
Preferred Qualifications:
- Certification in supply chain (e.g., CSCP, CPIM) is an advantage.
- Experience with automation tools and data analysis techniques.
- Familiarity with global trade regulations and compliance.
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Oracle SCM Oracle Inventory Oracle Supply Chain
Posted 3 days ago
Job Viewed
Job Description
Fusion Practices specializes in delivering finance, HR and technology transformations. As certified partners with Oracle, we provide solutions using Oracle Fusion Cloud SAAS, and PAAS. Our services include moving on-premise systems to Oracle Cloud, target state architecture planning, and business process automation using AI. We help clients automate their manual finance processes, delivering significant business improvements. Join a fast growing organisation that has won many awards in Innovations and services.
High level role
The Oracle Cloud SCM Functional Consultant will lead the delivery of Oracle Cloud solutions covering Inventory, Manufacturing, Demand Planning, and Procurement. The role is hands-on and client-facing, focusing on gathering specific business requirements, running workshops, designing integrated supply chain solutions, and configuring Oracle Cloud SCM modules to deliver business value.
Requirements Capture and Workshop Facilitation Engage client stakeholders across supply chain, operations, manufacturing, and procurement to identify process requirements and system objectives
Lead discovery workshops to capture business needs for inventory management, demand planning, procurement, and manufacturing
Elicit pain points, current-state process gaps, future-state goals, and key business rules, ensuring all areas of Oracle SCM Cloud are represented
Document requirements and business processes, maintaining traceability and clarity for subsequent solution design
Solution Design Map requirements to Oracle Cloud SCM modules, aligning processes to standard Oracle functionality
Develop process flows, solution design documents, and configuration workbooks for Inventory, Manufacturing, Demand Planning, and Procurement modules
Identify and document configuration, data, and integration requirements, considering dependencies and touchpoints across modules
Present solution options to business stakeholders, obtaining sign-off for proposed Oracle Cloud designs
Work with technical consultants to support any required integrations, extensions, or reporting needs
Oracle Cloud Configuration and Implementation Configure Oracle Inventory Cloud to manage item master data, inventory organisations, transactions, replenishment, and lot/serial tracking
Configure Oracle Manufacturing Cloud for work definitions, work orders, resource management, and shop floor execution
Set up Oracle Demand Planning Cloud for forecasting, safety stock policies, and consensus demand processes
Configure Oracle Procurement Cloud, including requisitions, purchase orders, supplier management, sourcing, and approvals
Manage data migration for master and transactional data such as items, suppliers, BOMs, routings, and demand plans
Conduct system and integration testing, resolving issues and supporting user acceptance testing
Stakeholder Management and Project Delivery Provide regular progress updates, risk assessments, and action logs to the project manager and stakeholders
Facilitate sign-off at each phase: requirements, design, build/configuration, and UAT
Support cutover planning, go-live readiness, and hypercare activities to ensure smooth adoption of Oracle SCM modules