Intraedge Technologies
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Position: Oracle EBS Functional Consultant
Location: Gurgaon, India
Experience: 5+ Years
Salary Band - Till 28 lakhs/ Year
About the Company:IntraEdge is a leading provider of IT solutions, known for our commitment to excellence and innovation. We are looking for an experienced Oracle EBS Functional Consultant specializing in finance modules to join our team in Gurgaon.
Key Responsibilities:
- Finance Modules Expertise: Provide functional consulting for Oracle EBS Finance modules including General Ledger, Accounts Payable, Purchasing, iProcurement, Fixed Assets, and Sub Ledger Accounting.
- Client Advising: Advise clients on system setups, configurations, and best practices to optimize their use of Oracle EBS.
- Functional Specifications: Prepare detailed functional specification documents for new enhancements, customizations, and functionalities.
- Testing and Validation: Conduct thorough testing of enhancements and new functionalities to ensure they meet business requirements and function correctly.
- Conversion Activities: Lead and manage data conversion activities, ensuring accurate migration of data from legacy systems to Oracle EBS.
- Interface Activities: Develop and manage interfaces between Oracle EBS and other systems, ensuring seamless integration and data flow.
- Roll-Out Implementation: Participate in the roll-out implementation of Oracle R12 Financial modules, with hands-on involvement in at least 3 full-cycle projects.
- User Training: Provide training and support to end-users, ensuring they are equipped to effectively use the Oracle EBS system.
- Continuous Improvement: Identify opportunities for process improvement and system enhancements to maximize the value delivered by Oracle EBS.
Required Qualifications:
- Experience: Minimum of 5 years of experience as an Oracle EBS Functional Consultant.
- Education: Bachelor’s degree in Finance, Accounting, Information Technology, or a related field.
- Projects: Experience with at least 3 full-cycle roll-out implementation projects of Oracle R12 Financial modules.
- Technical Skills: Strong understanding of Oracle EBS architecture, configuration, and integration points.
- Documentation: Proficient in preparing detailed functional specification documents.
- Problem-Solving: Excellent analytical and problem-solving skills with a detail-oriented approach.
- Communication: Strong verbal and written communication skills, with the ability to effectively collaborate with clients and team members.
Preferred Qualifications:
- Certifications: Oracle EBS certifications are highly desirable.
- Industry Experience: Experience in [specific industry relevant to your company, if any].
- Project Management: Familiarity with project management methodologies and tools.
About Intraedge: https://intraedge.com/
Intraedge is a Technology, Products and Learning Organization, It was founded in 2002 with offices in the US, India, Europe, Canada, and Singapore. We provide our clients with the resources and expertise to enhance business performance through technology.
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Go Programming (Golang)
Ruby on Rails (ROR)
Ruby
Python
JavaSkills:
- Proficient in Go programming language with experience in building high-performance, scalable applications
- Experience with Java development a plus
- Familiarity with Git version control systems (e.g., GitHub, GitLab, BitBucket, SVN)
- Solid understanding of RESTful web services APIs
- Experience with CI/CD tools like Jenkins
- Experience with NoSQL databases
- Experience working with PostgreSQL databases
Responsibilities:
- Design, develop, and maintain robust and efficient Go code
- Collaborate with cross-functional teams to design, implement, and deploy new features
- Participate in code reviews and ensure high code quality
- Troubleshoot and debug complex technical problems
- Stay up-to-date with the latest advancements in Go and related technologies
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Description:
As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.
Responsibilities:
- Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
- Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
- Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
- Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
- Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.
Qualifications:
- BE Computer Science or a related field.
- ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
- Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Proficiency in DBT (Data Build Tool) for data transformation and modelling.
- Experience working with any Master Data Management (MDM) tools.
- Experience with data governance and metadata management tools such as Azure Purview or similar.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Strong leadership skills with the ability to lead and mentor a team of engineers.
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