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Oracle Fusion HCM Functional Consultant (Oracle workforce compensation and Talent Management)

 POSITION SUMMARY

·    7-9+ years experience in Oracle Cloud.

·    Must have experience in Oracle Fusion Cloud HCM Modules (Oracle workforce compensation and Talent Management).

·    End to end configuration of above Modules.

·    Create and update configuration books.

·    Support the preparation and execution of test scripts and resolve testing defects.

·    Create and update functional design documents.

·    Release upgrade testing.

·    Securities.

·    Good presentation and communication skills - Responsible for communicating and escalating project issues to the team leads.

·    Responsible for project deliverables from offshore for HCM Modules.

·   Exposure to structured software development life-cycle methodology.

·   Experience of working with multi-cultural teams in a geographically diverse environment.

·    Experience in creating workflow and security for the module.

·    Good to have experience in Redwood theme and Visual builder studio.

📌 Job Title: Technical Architect

📍 Location: Pune (Onsite/Hybrid)

🏢 Company: AdElement Media Solutions Pvt. Ltd.

🕒 Experience Required: 6+ Years

💼 Industry: AdTech / Digital Advertising Technology

Salary - 80 LPA

🔧 About the Role:

We are looking for a Technical Architect with a strong engineering background and hands-on experience in designing and developing scalable products. The ideal candidate must have core experience in AdTech platforms, product architecture, and engineering leadership.

🛠 Key Responsibilities:

• Design, architect, and oversee the implementation of scalable and high-performance AdTech products.
• Collaborate with product managers, developers, and stakeholders to define technical direction.
• Own the end-to-end architecture decisions and ensure alignment with business goals.
• Review code, mentor engineers, and enforce engineering best practices.
• Drive technical innovation and optimize system design for performance, scalability, and reliability.
• Lead architecture discussions for RTB systems, data pipelines, ad servers, or bidding platforms.

✅ Required Qualifications & Skills:

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum 6+ years of hands-on experience in software development and system design.
• Proven experience in building scalable backend systems in high-traffic environments.
• Strong programming skills in Node.js, Java, or Python.
• In-depth understanding of AdTech ecosystem – including DSPs, SSPs, RTB, DMPs, Ad servers, etc.
• Expertise in cloud platforms (AWS preferred), CI/CD, containerization (Docker, Kubernetes).
• Experience in handling data-intensive pipelines using tools like Kafka, Spark, or similar.
• Familiarity with performance tuning, monitoring tools, and high availability systems.

💡 Good to Have:

• Experience working in startups or fast-paced product teams.
• Knowledge of data privacy regulations (GDPR, CCPA) related to online advertising.
• Prior experience in leading cross-functional engineering teams.

📩 How to Apply:

If you're passionate about architecting high-performance AdTech solutions and ready to make an impact, we’d love to hear from you.

Please send your resume

• Position: Appian Tech Lead
•  
• Job Description:      
•  
• Extensive experience in Appian BPM application development
• Knowledge of Appian architecture and its objects best practices
• Participate in analysis, design, and new development of Appian based applications
• Mandatory Team leadership and provide technical leadership to Scrum teams Certification Mandatory- L1, L2 or L3
• Must be able to multi-task, work in a fast-paced environment and ability to resolve problems faced by team
• Build applications: interfaces, process flows, expressions, data types, sites, integrations,
• Proficient with SQL queries and with accessing data present in DB tables and views
• Experience in Analysis, Designing process models, Records, Reports, SAIL, forms, gateways, smart services, integration services and web services
• Experience working with different Appian Object types, query rules, constant rules and expression rules

 Qualifications:

• At least 6 years of experience in Implementing BPM solutions using Appian 19.x or higher
• Over 8 years in Implementing IT solutions using BPM or integration technologies
• Experience in Scrum/Agile methodologies with Enterprise level application development projects
• Good understanding of database concepts and strong working knowledge any one of the major databases e g Oracle SQL Server MySQL

Additional Information Skills Required

• Appian BPM application development on version 19.x or higher
• Experience of integrations using web services e g XML REST WSDL SOAP API JDBC JMS
• Good leadership skills and the ability to lead a team of software engineers technically
• Experience working in Agile Scrum teams
• Good Communication skills

• 4= years of experience
• Proficiency in Python programming.
• Experience with Python Service Development (RestAPI/FlaskAPI)
• Basic knowledge of front-end development.
• Basic knowledge of Data manipulation and analysis libraries
• Code versioning and collaboration. (Git)
• Knowledge for Libraries for extracting data from websites.
• Knowledge of SQL and NoSQL databases
• Familiarity with Cloud (Azure /AWS) technologies

Google Data Engineer - SSE

Position Description

Google Cloud Data Engineer

Notice Period: Immediate to 30 days serving

Job Description:

We are seeking a highly skilled Data Engineer with extensive experience in Google Cloud Platform (GCP) data services and big data technologies. The ideal candidate will be responsible for designing, implementing, and optimizing scalable data solutions while ensuring high performance, reliability, and security.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures using GCP data services.

• Implement and optimize solutions using BigQuery, Dataproc, Composer, Pub/Sub, Dataflow, GCS, and BigTable.

• Work with GCP databases such as Bigtable, Spanner, CloudSQL, AlloyDB, ensuring performance, security, and availability.

• Develop and manage data processing workflows using Apache Spark, Hadoop, Hive, Kafka, and other Big Data technologies.

• Ensure data governance and security using Dataplex, Data Catalog, and other GCP governance tooling.

• Collaborate with DevOps teams to build CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, and Terraform.

• Optimize query performance and data storage across structured and unstructured datasets.

• Design and implement streaming data solutions using Pub/Sub, Kafka, or equivalent technologies.

Required Skills & Qualifications:

• 8-15 years of experience

• Strong expertise in GCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run, Cloud Build.

• Proficiency in Python and Java, with hands-on experience in data processing and ETL pipelines.

• In-depth knowledge of relational databases (SQL, MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Scylla, Cassandra, DynamoDB).

• Experience with Big Data platforms such as Cloudera, Hortonworks, MapR, Azure HDInsight, IBM Open Platform.

• Strong understanding of AWS Data services such as Redshift, RDS, Athena, SQS/Kinesis.

• Familiarity with data formats such as Avro, ORC, Parquet.

• Experience handling large-scale data migrations and implementing data lake architectures.

• Expertise in data modeling, data warehousing, and distributed data processing frameworks.

• Deep understanding of data formats such as Avro, ORC, Parquet.

• Certification in GCP Data Engineering Certification or equivalent.

Good to Have:

• Experience in BigQuery, Presto, or equivalent.

• Exposure to Hadoop, Spark, Oozie, HBase.

• Understanding of cloud database migration strategies.

• Knowledge of GCP data governance and security best practices.

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

Primary skills are to find out memory leaks, diagnose crashes, create crash dumps and perform fixes., ASP.NET, MVC, or Entity Framework, C# .Net, Angular ( C# Web developer) , ASP.NET, MVC, or Entity Framework, C# .Net, Angular

Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.

Must Have Skills

• Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
• Leading in the identification, isolation, resolution and communication of problems within the production environment.
• Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
• Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
• Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
• Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
• Works on multiple platforms and multiple projects concurrently.
• Performs code and unit testing for complex scope modules, and projects
• Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)

• Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
• Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
• Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector,  JMS source connectors, Tasks, Workers, converters, Transforms.
• Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
• Working knowledge on Kafka Rest proxy.
• Ensure optimum performance, high availability and stability of solutions.
• Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
• Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.  Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem. 
• Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
• Ability to perform data related benchmarking, performance analysis and tuning.
• Strong skills in In-memory applications, Database Design, Data Integration.