11+ ASCP Jobs in Hyderabad | ASCP Job openings in Hyderabad

Role/Title: ASCP Functional consultant (Exp - 4 to 15 yrs.)

Location: Noida/Pune/Bangalore/Hyderabad/Chennai

Primary Skills/expertise: ASCP, MFG/MRP, MPS, WIP, BOM

Role & Responsibilities   

Functional Consultant with min 6-8 years of experience.

Skills –

• Oracle VCP-EBS - Advanced Supply Chain Planning (ASCP, MFG/MRP, MPS Planning Expert)

Detailed Job Description:          

• Strong experience in Oracle ASCP, MRP, MPS Planning and Manufacturing
• Good knowledge of Oracle EBS, Mfg., WIP, BOM
• Having done at least one end to end implementation of Oracle EBS Mfg. with primary focus on VCP modules
• Good knowledge of Supply Chain Management related business processes and Oracle configurations / functional setups, profile options, flex-fields, functional interfaces for R12 EBS
• Should have worked on customizations, Reports, interfaces etc. over MSC schema
• Understanding of software development methodologies, development processes, change management, and deployment procedures
• Experience with gathering user requirements, understanding and interpreting requirements specifications
• Ability to analyze, trouble shoot and effectively communicate functional details to end users
• Worked with Oracle Technical Support on SR resolution
• Self-motivated team player with ability to work independently as well as part of a team
• Strong analytical and problem-solving skills along with written and verbal communication skills
• Good to have – SQL-query knowledge, well known about VCP & Oracle-EBS Mfg. Tables, scheduling tools.
• Should have good understanding of Oracle-EBS Integrations with VCP
• Should have experience in client facing.
• Experience in working with multiple teams.
• Flexible in timings
• Expert in writing functional specifications
• Should able to understand holistic planning solution of customer
• Must have experience in Creation of different test scripts, doing testing, UAT support

Job Description

Experience: 5 - 9 years

Location: Bangalore/Pune/Hyderabad

Work Mode: Hybrid(3 Days WFO)

Senior Cloud Infrastructure Engineer for Data Platform 

The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.

Key Responsibilities:

Cloud Infrastructure Design & Management

Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.

Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.

Optimize cloud costs and ensure high availability and disaster recovery for critical systems

Databricks Platform Management

Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.

Automate cluster management, job scheduling, and monitoring within Databricks.

Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.

CI/CD Pipeline Development

Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.

Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.

Monitoring & Incident Management

Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.

Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.

Security & Compliance

Enforce security best practices, including identity and access management (IAM), encryption, and network security.

Ensure compliance with organizational and regulatory standards for data protection and cloud operations.

Collaboration & Documentation

Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.

Maintain comprehensive documentation for infrastructure, processes, and configurations.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Must Have Experience:

6+ years of experience in DevOps or Cloud Engineering roles.

Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.

Hands-on experience with Databricks for data engineering and analytics.

Technical Skills:

Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Strong scripting skills in Python, or Bash.

Experience with containerization and orchestration tools like Docker and Kubernetes.

Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).

Soft Skills:

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

Requirements:

• 4-6 years of experience in developing Enterprise Web Applications using Java/J2EE technologies with a good professional track record.
• Excellent knowledge in Core Java (J2SE) and J2EE technologies.
• Proficient knowledge in Servlets, JDBC & JSP.
• Good knowledge of Spring framework (MVC, Cloud, Data and Security. Etc) and ORM framework like JPA/Hibernate.
• Strong knowledge of Exception Handling, Collections, File I/O Streams, Interfaces, and logging mechanisms is a must.
• Experience in developing REST APIs and integration of third-party APIs.
• Proficient knowledge in SQL/PLSQL.
• Expertise in application/web server deployment and connection pooling techniques.
• Cloud deployment (AWS & Azure) will be an added advantage.
• Experience in Version Control tools like Git, Bitbucket, etc.
• Experience in data security and protocols is a must.
• Maven and IDE tools experience is a must.
• Multi-threading and serialization techniques knowledge is a must.
• Good understanding of end-to-end software development lifecycle.
• Ability to read and understand requirements and design documents.
• Good Analytical skills and should be self-driven. Good communication with interpersonal skills.
• Open to learning new technologies and domains.
• A good team player and ready to take up new challenges
• Languages: Java(J2SE), J2EE (Servlets, JSPs, JDBC)
• Databases: MySQL, Oracle, SQL Server, PostgreSQL.
• DB Script: SQL and PL/SQL
• Frameworks: Spring, Spring Boot, Jersey, Hibernate and JPA
• OS: Windows, Linux/Unix.
• Cloud Services: AWS and Azure (Good to have)
• Version Control tools: Git, Bitbucket.
• Deployment Servers: Tomcat, JBoss, and Web sphere
• Build Tools: Gradle/Maven

Daily and monthly responsibilities

• Review and coordinate with business application teams on data delivery requirements.
• Develop estimation and proposed delivery schedules in coordination with development team.
• Develop sourcing and data delivery designs.
• Review data model, metadata and delivery criteria for solution.
• Review and coordinate with team on test criteria and performance of testing.
• Contribute to the design, development and completion of project deliverables.
• Complete in-depth data analysis and contribution to strategic efforts
• Complete understanding of how we manage data with focus on improvement of how data is sourced and managed across multiple business areas.

Basic Qualifications

• Bachelor’s degree.
• 5+ years of data analysis working with business data initiatives.
• Knowledge of Structured Query Language (SQL) and use in data access and analysis.
• Proficient in data management including data analytical capability.
• Excellent verbal and written communications also high attention to detail.
• Experience with Python.
• Presentation skills in demonstrating system design and data analysis solutions.

Job description

Roles and Responsibilities:

· Strong experience in HTML, JavaScript, CSS, jQuery, WEB API, NET with C#

· Proficient in working with Microsoft SQL Server

· Experience in developing web applications using Angular

· Strong logical, analytical and problem-solving skills

· Strong background in building web applications

· Excellent communication skills

Perks and Benefits

· Excellent Salary structure & Performance based interim hikes.

· Corporate Group Medical Health Insurance for Employees.

· Employee friendly Corporate Work culture

• 15+ years of Hands-on technical application architecture experience and Application build/ modernization experience

• 15+ years of experience as a technical specialist in Customer-facing roles.

• Ability to travel to client locations as needed (25-50%)

• Extensive experience architecting, designing and programming applications in an AWS Cloud environment

• Experience with designing and building applications using AWS services such as EC2, AWS Elastic Beanstalk, AWS OpsWorks

• Experience architecting highly available systems that utilize load balancing, horizontal scalability and high availability

• Hands-on programming skills in any of the following: Python, Java, Node.js, Ruby, .NET or Scala

• Agile software development expert
• Experience with continuous integration tools (e.g. Jenkins)

• Hands-on familiarity with CloudFormation

• Experience with configuration management platforms (e.g. Chef, Puppet, Salt, or Ansible)

• Strong scripting skills (e.g. Powershell, Python, Bash, Ruby, Perl, etc.)

• Strong practical application development experience on Linux and Windows-based systems

• Extra curricula software development passion (e.g. active open source contributor)

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus

Responsibilities

• Build efficient, testable, and reusable wordpress modules
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions
• Manage and update theme as per requirement

Skills

• Strong knowledge of wordpress
• WooCommerce plugin
• Understanding the fully synchronous behavior of PHP
• Understanding of MVC design patterns
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Knowledge of object oriented PHP programming
• Understanding accessibility and security compliance
• Strong knowledge of the common PHP or web server exploits and their solutions
• Understanding fundamental design principles behind a scalable application
• Familiarity with limitations of PHP as a platform and its workarounds
• Creating database schemas that represent and support business processes
• Familiarity with SQL databases and their declarative query languages
• Proficient understanding of code versioning tools, such as Git