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- 6 - 10 years’ experience in Oracle EBS (Techno-Functional)
- Experience in implementation, Support, and upgrade projects
- Experience at least in 2 R12.2 upgrade projects.
- Experience in Oracle EBS R12.2.7 or Higher versions of R12.
- Strong knowledge in SQL/PLSQL, Reports, Forms, and workflow. OAF is added advantage.
- At least 40% functional knowledge in SCM and Manufacturing (Modules: PO, OM, INV, WIP, BOM, Quality and Engineering)
- Excellent verbal and written communication skills
Java
Spring Boot
DockerPosition-Tech Lead
Experience: 8-10
Job Location: Pune
We are seeking a highly skilled Tech Lead with strong expertise in Java, microservices architecture, and cloud-native application development. The ideal candidate will bring hands-on leadership experience in designing scalable solutions, guiding development teams, and collaborating with DevOps engineers on OpenShift (OCP) platforms. This role requires a blend of technical leadership, solution design, and delivery ownership.
Key Responsibilities
Lead the design and development of Java / Spring Boot based microservices in a cloud-native environment.
Provide technical leadership to a team of developers, ensuring adherence to coding, security, and architectural best practices.
Collaborate with architects and DevOps engineers to deploy and manage microservices on Red Hat OpenShift (OCP).
Oversee end-to-end delivery including requirement analysis, design, development, code review, testing, and deployment.
Define and implement API specifications, integration patterns, and microservices orchestration.
Work closely with DevOps teams to integrate CI/CD pipelines, containerized deployments, Helm, and GitOps workflows.
Ensure application performance, scalability, and reliability with proactive observability practices (Grafana, Prometheus, etc.).
Required Skills & Qualifications
8-10 years of proven experience in Java application development with at least 4+ years in microservices architecture.
Strong expertise in Spring Boot, REST APIs, JPA/Hibernate, and messaging frameworks (Kafka, RabbitMQ, etc.).
Hands-on experience with containerization (Docker) and orchestration (OpenShift/Kubernetes).
Familiarity with OCP DevOps practices including CI/CD (ArgoCD, Tekton, Jenkins), Helm, and YAML deployments.
Good understanding of observability stacks (Grafana, Prometheus, Loki, Alertmanager) and logging practices.
Solid knowledge of cloud-native design principles, scalability, and fault tolerance.
Exposure to security best practices (OAuth, RBAC, secrets management via Vault or similar).
Hiring: Azure Data Engineer
⭐ Experience: 2+ Years
📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Bangalore
⭐ Work Mode:- Hybrid
⏱️ Notice Period: Immediate Joiners
Passport: Mandatory & Valid
(Only immediate joiners & candidates serving notice period)
Mandatory Skills:
Azure Synapse, Azure Databricks, Azure Data Factory (ADF), SQL, Delta Lake, ADLS, ETL/ELT,Pyspark .
Responsibilities:
- Build and maintain data pipelines using ADF, Databricks, and Synapse.
- Develop ETL/ELT workflows and optimize SQL queries.
- Implement Delta Lake for scalable lakehouse architecture.
- Create Synapse data models and Spark/Databricks notebooks.
- Ensure data quality, performance, and security.
- Collaborate with cross-functional teams on data requirements.
Nice to Have:
Azure DevOps, Python, Streaming (Event Hub/Kafka), Power BI, Azure certifications (DP-203).
consulting & implementation services in the area of Oil & Gas, Mining and Manufacturing Industry
Job Responsibilities:
- Technically sound in Dot Net technology. Good working knowledge & experience in Web API and SQL Server
- Should be able to carry out requirement analysis, design, coding unit testing and support to fix defects reported during QA, UAT phases and at GO Live times.
- Able to work alone or as part of a team with minimal or no supervision from Delivery leads.
- Good experience required in Azure stack of integration technology-Logic app, Azure Function, APIM and Application insights.
Must have skill
- Strong Web API development using ASP.Net Core, Logic app, azure functions, APIM
- Azure Functions
- Azure Logic App
- Azure APIM
- Azure ServiceBus
Desirable Skills
- Azure Event Grid/Hub
- Azure KeyVault
- Azure SQL – Knowledge on SQL query
We are seeking a dynamic and motivated Field Sales Executive to join our sales team. The ideal candidate will be responsible for generating new business and maintaining existing client relationships through face-to-face meetings and presentations. This role requires a high level of travel and interaction with clients in various locations.
Key Responsibilities:
- Client Visits: Conduct regular visits to current and potential clients to present our products/services.
- Sales Targets: Meet and exceed sales targets and goals as set by the company.
- Market Analysis: Conduct market research to identify new business opportunities and provide feedback on market trends.
- Product Demonstrations: Deliver detailed presentations and demonstrations of our products/services to clients.
- Relationship Management: Build and maintain strong relationships with clients to ensure customer satisfaction and repeat business.
- Negotiation and Closing: Negotiate terms and conditions with clients and close sales deals.
- Reporting: Prepare and submit detailed sales reports and forecasts to the Sales Manager.
- Customer Support: Provide after-sales support to clients and address any issues or concerns.
- Team Collaboration: Work closely with the sales and marketing teams to develop and implement effective sales strategies.
- Compliance: Ensure all sales activities comply with company policies and procedures.
Qualifications:
- Education: Bachelor’s degree in Business, Marketing, or a related field.
- Experience: Minimum of [X] years of experience in sales, preferably in a field sales role.
- Skills:
- Strong communication and interpersonal skills.
- Proven track record of achieving sales targets.
- Excellent negotiation and closing skills.
- Ability to work independently and manage time effectively.
- Proficiency in using CRM software and MS Office Suite.
- Other Requirements:
- Valid driver’s license.
- Willingness to travel extensively
Key Responsibilities
- Communicating with hiring managers to identify future job openings and the technical requirements for those jobs.
- Writing job descriptions and posting to relevant media platforms. Screening applicants for competency with the job requirements.
- Arranging telephone, video, or in-person interviews.
- Performing background and reference checks.
- Presenting the resumes of the most suitable candidates to the hiring manager.
- Offering job positions and completing the relevant paperwork.
- Keeping track of all applicants as well as keeping applicants informed on the application process.
- Forecasting recruitment budgets.
- Interview candidates combining various methods (e.g., structured interviews, technical assessments and behavioural questions)
- Build a candidate CRM to ensure a solid pipeline of qualified candidates - ensuring candidate data is kept updated.
Candidate Profile:You have:
- Proven work experience in recruitment - ideally as a Technical Recruiter
- Hands-on experience with various interview formats (e.g., Teams, Zoom, Google Hangouts)
- Technical expertise with an ability to understand and explain job requirements for IT roles.
- Experience using LinkedIn Talent Solutions to source quality candidates.
- Excellent verbal and written communication skills
- Strong tenacity and ability to build a solid network.
Awesome to have:
- Any experience working in Healthcare Technology
Education and Experience:
- Degree in HR, communications, marketing, business or similar
- 2 year of HR experience in a Tech Company
- Strong experience in tech-based roles
- Good interpersonal and decision-making skills.
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.
Data Science
Machine Learning (ML)Location: Ahmedabad / Pune
Team: Technology
Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and the Internet of Things.
PRIMARY RESPONSIBILITIES:
● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics/modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adapting them for our
purposes.
● Feature engineering to add new features that improve model
performance.
KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.
EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.
Java- KSQL
- Data Engineering spectrum (Java/Spark)
- Spark Scala / Kafka Streaming
- Confluent Kafka components
- Basic understanding of Hadoop
PHP
Javascript- Profound knowledge about state-of-the-art technologies and standards (PHP, MySQL, JavaScript, HTML5 and CSS, AJAX, JQuery, XML, and Linux)
Experience with web services and Various frameworks (CakePHP, Symfony, ZEND, Laravel, etc) -
Capability to create an extension or module.
- Must be able to work on own initiative as well as part of a team
- Experience in a structured development environment
- Strong knowledge of Core PHP Skills & object-oriented programming (OOP) Has knowledge of any one of Git, BitBucket, SVN, etc. code management repositories.
- Immediate joiner prefer.
- Total Exp - 2+ to 4 years
- Notice period - not more than 30 days
Responsibilities and Duties -
You will be taking ownership of a big project already in production. This project already has 25L registered users.
Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system.
Key functions & responsibilities:
Communication & interaction with the Project Manager to understand the requirement
Dashboard designing, development and deployment using Tableau eco-system
Ensure delivery within a given time frame while maintaining quality
Stay up to date with current tech and bring relevant ideas to the table
Proactively work with the Management team to identify and resolve issues
Performs other related duties as assigned or advised
He/she should be a leader that sets the standard and expectations through an example in
his/her conduct, work ethic, integrity and character
Contribute in dashboard designing, R&D and project delivery using Tableau
Candidate’s Profile
Academics:
Batchelor’s degree preferable in Computer science.
Master’s degree would have an added advantage.
Experience:
Overall 2-5 Years of experience in DWBI development projects, having worked on BI and
Visualization technologies (Tableau, Qlikview) for at least 2 years.
At least 2 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modelling, data blending, etc.
Technology & Skills:
Hands on expertise of Tableau administration and maintenance
Strong working knowledge and development experience with Tableau Server and Desktop
Strong knowledge in SQL, PL/SQL and Data modelling
Knowledge of databases like Microsoft SQL Server, Oracle, etc.
Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc.
Good communication & Analytical skills with Excellent creative and conceptual thinking
abilities
Superior organizational skills, attention to detail/level of quality, Strong communication
skills, both verbal and written
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