

SAP PP Manufacturing Consultant & ELK Stack Engineer SRE - Onsite in New York.
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an SAP PP Manufacturing Consultant with 7+ years of experience, focusing on discrete manufacturing and BOM management, for a 6-month W2 contract in New York. Key skills include SAP PP/MM, data migration, and training end-users.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 13, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
California, United States
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π§ - Skills detailed
#Splunk #Observability #SAP #Bash #Lambda (AWS Lambda) #GitLab #Grafana #Data Migration #AWS (Amazon Web Services) #Jenkins #Visualization #DevOps #Kubernetes #Ansible #Migration #Logging #Prometheus #Data Ingestion #AWS CloudWatch #Security #Python #Monitoring #Docker #Azure #RDS (Amazon Relational Database Service) #Debugging #"ETL (Extract #Transform #Load)" #Elasticsearch #Linux #S3 (Amazon Simple Storage Service) #Logstash #Terraform #Deployment #OpenSearch #Automation #Scripting #GCP (Google Cloud Platform) #Cloud
Role description
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Position : 1
Role : SAP PP/ Manufacturing Consultant
Location: 100% (Must support PT zone).
Hire : W2 Contract
Duration: 6 months
Notes:
Looking for SAP PP/ Manufacturing Consultant.
Collaborate with cross-functional teams to design and implement SAP PP and MM solutions during the migration from ECC to S/4 HANA Participate in the functional design phase, ensuring alignment with business requirements and best practices in discrete manufacturing Analyze and optimize Bill of Materials (BOM) structures to enhance production efficiency and accuracy Act as a key member of the data team, supporting data migration and validation efforts to ensure seamless transition to S/4 HANA Provide training and support to end-users, ensuring they are equipped to utilize the new SAP functionalities effectively.
Qualifications Minimum of 7 years of experience in SAP PP and MM modules, with a focus on discrete manufacturing environments Proven experience in designing and managing Bill of Materials (BOM) within SAP systems.
Strong understanding of semi-conductor manufacturing processes and industry standards.
Excellent analytical, problem-solving, and communication skills, with the ability to work collaboratively in a team-oriented environment.
Hands on expertise in Master data (Material Master, BOM, WC, and routing) Demand Planning (Forecast), MRP, Capacity Planning, shopfloor execution (Production orders), Discrete, make to order (MTO), Engineer order (ETO), manufacturing scenarios along with variant configuration scenarios.
Description:
We currently have a contract opportunity for a SAP PP/ Manufacturing Consultant.
β’ Collaborate with cross-functional teams to design and implement SAP PP and MM solutions during the migration from ECC to S/4 HANA
β’ Participate in the functional design phase, ensuring alignment with business requirements and best practices in discrete manufacturing
β’ Analyze and optimize Bill of Materials (BOM) structures to enhance production efficiency and accuracy
β’ Act as a key member of the data team, supporting data migration and validation efforts to ensure seamless transition to S/4 HANA
β’ Provide training and support to end-users, ensuring they are equipped to utilize the new SAP functionalities effectively
Qualifications
β’ Minimum of 7 years of experience in SAP PP and MM modules, with a focus on discrete manufacturing environments
β’ Proven experience in designing and managing Bill of Materials (BOM) within SAP systems
β’ Strong understanding of semi-conductor manufacturing processes and industry standards
β’ Excellent analytical, problem-solving, and communication skills, with the ability to work collaboratively in a team-oriented environment
β’ Hands on expertise in Master data (Material Master, BOM, WC, and routing) Demand Planning (Forecast), MRP, Capacity Planning, shopfloor execution (Production orders), Discrete, make to order (MTO), Engineer order (ETO), manufacturing scenarios along with variant configuration scenarios.
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Position : 2
Role : ELK Stack Engineer/ SRE - onsite in New York.
Location : New York Onsite
This is - ELK Stack Engineer - DevOps/SRE β more focus on ELK stack (its Elastic Search, Kibana and Lagtash)
Inviting applications for the role of
ELK (Elasticsearch, Kibana & Logstash), Linux (Scripting).
In this role, you will be responsible for coding and delivering high-quality deliverables and should be willing to learn new technologies.
Responsibilities
β’ Design, configure, and manage ELK Stack solutions (Elasticsearch, Logstash, Kibana, and Beats).
β’ Develop and maintain Logstash pipelines to ingest and parse logs from multiple sources.
β’ Set up dashboards and visualizations in Kibana for real-time monitoring and alerting.
β’ Configure Elasticsearch indices, mappings, lifecycle policies, and manage cluster performance.
β’ Implement data ingestion, transformation, and enrichment techniques.
β’ Integrate ELK with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
β’ Manage access controls and security using Elasticsearch APIs and features like X-Pack or OpenSearch plugins.
β’ Work with DevOps/SRE/IT teams to troubleshoot logging issues and build observability into CI/CD pipelines.
Linux & Scripting
β’ Develop and maintain Linux shell scripts for automation of deployments, monitoring, and maintenance tasks.
β’ Set up, configure, and maintain Linux-based environments for Elasticsearch and related applications.
β’ Troubleshoot and resolve server performance, disk, and memory issues related to Elasticsearch.
Qualifications we seek in you!
Minimum Qualifications
β’ BE/B Tech/MCA
β’ Excellent written and verbal communication skills
β’ Min 7 years of experience.
β’ Experience in the Finance Domain
Preferred Qualifications/ Skills
β’ Hands-on experience with Elasticsearch, Logstash, Kibana
β’ Solid understanding of Elasticsearch architecture, shard management, query DSL, and cluster tuning.
β’ Strong experience writing and debugging Logstash filters and pipelines.
β’ Proficient in Kibana dashboard development, visualizations, and reporting.
β’ Experience with Linux environments and command-line scripting (Bash, Shell, Python).
β’ Experience integrating ELK with AWS CloudWatch, S3, RDS, Lambda, etc. (or equivalent cloud platforms).
β’ Understanding of security, authentication, and RBAC in ELK environments.
β’ Familiarity with observability tools such as Prometheus, Grafana, or Splunk is a plus.
β’ Experience with CI/CD tools (Jenkins, GitLab CI) and infrastructure-as-code (Terraform, Ansible).
β’ Excellent problem-solving skills and ability to work in a team-oriented environment.