11+ Dataflow architecture Jobs in Pune | Dataflow architecture Job openings in Pune

CANDIDATE WILL BE DEPLOYED IN A FINANCIAL CAPTIVE ORGANIZATION @ PUNE (KHARADI)

Below are the job Details :-

Experience 10 to 18 years

Mandatory skills –

• data migration,
• data flow

The ideal candidate for this role will have the below experience and qualifications:  

• Experience of building a range of Services in a Cloud Service provider (ideally GCP)  
• Hands-on design and development of Google Cloud Platform (GCP), across a wide range of GCP services including hands on experience of GCP storage & database technologies. 
• Hands-on experience in architecting, designing or implementing solutions on GCP, K8s, and other Google technologies. Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools 
• Desired Skills within the GCP stack - Cloud Run, GKE, Serverless, Cloud Functions, Vision API, DLP, Data Flow, Data Fusion 
• Prior experience of migrating on-prem applications to cloud environments. Knowledge and hands on experience on Stackdriver, pub-sub, VPC, Subnets, route tables, Load balancers, firewalls both for on premise and the GCP.  
• Integrate, configure, deploy and manage centrally provided common cloud services (e.g. IAM, networking, logging, Operating systems, Containers.)  
• Manage SDN in GCP Knowledge and experience of DevOps technologies around Continuous Integration & Delivery in GCP using Jenkins.  
• Hands on experience of Terraform, Kubernetes, Docker, Stackdriver, Terraform  
• Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Groovy, Scala  
• Knowledge or experience in DevOps tooling such as Jenkins, Git, Ansible, Splunk, Jira or Confluence, AppD, Docker, Kubernetes  
• Act as a consultant and subject matter expert for internal teams to resolve technical deployment obstacles, improve product's vision. Ensure compliance with centrally defined Security 
• Financial experience is preferred 
• Ability to learn new technologies and rapidly prototype newer concepts 
• Top-down thinker, excellent communicator, and great problem solver

Exp:- 10  to 18 years

Location:- Pune

Candidate must have experience in below.

• GCP Data Platform
• Data Processing:- Data Flow, Data Prep, Data Fusion
• Data Storage:- Big Query, Cloud Sql,
• Pub Sub, GCS Bucket

Agilysis is looking for a seasoned Workday Functional Architect to join our delivery team in Pune.

In this role, you will lead functional workstreams across complex Workday implementations, serve as the primary point of contact for clients, and mentor and manage a team of functional consultants. The ideal candidate will bring deep hands-on expertise across multiple Workday functional areas and drive conversations with both client and internal teams at the business and technical levels.

Roles & Responsibilities:

• Lead end-to-end Workday functional delivery across at least three modules, including HCM, Compensation, Advanced Compensation, Payroll, Absence, Time Tracking, Talent & Performance.
• Act as the functional design authority — translating complex business requirements into scalable, best-practice Workday configurations.
• Own client relationships through the full project lifecycle, facilitating workshops, presenting solutions, managing expectations, and handling escalations.
• Manage and mentor a team of 8–10 functional consultants, providing oversight on task allocation, quality assurance, and professional development.
• Design and govern Workday Business Process Frameworks, security models, and reporting structures across project workstreams.
• Collaborate with integration and technical teams to ensure functional and technical design decisions are aligned.
• Lead Workday release readiness activities — assessing impact, coordinating testing, and driving adoption of new features.
• Contribute to pre-sales and scoping efforts including effort estimation, solution design, and SOW inputs where required.
• Ensure data integrity, compliance, and audit readiness across all functional areas in scope.
• Produce and maintain high-quality documentation including design specifications, configuration workbooks, and knowledge transfer materials.

Qualifications & Experience

• Bachelor's or Master's degree in Human Resources, Information Systems, Business, or a related field.
• 7–10 years of overall Workday experience, with hands-on configuration expertise across a minimum of three functional areas: Core HCM, Compensation, Advanced Compensation, Payroll, Absence, Time Tracking, Talent & Performance.
• Workday Pro certification in at least one functional area is strongly preferred.
• Demonstrated experience managing functional teams of 8+ consultants in a delivery or implementation setting.
• Proven track record of direct client engagement — including requirement gathering, solutioning, and stakeholder management at senior levels.
• Strong command of Workday Business Process Framework, reporting, calculated fields, and security configuration.
• Experience working on full-cycle Workday implementations; AMS or managed services experience is a plus.
• Strong analytical, problem-solving, and impact assessment capabilities.
• Excellent communication skills — able to present complex ideas clearly to both business and technical audiences.

Role - MLops Engineer

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Role Overview

We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.

Key Responsibilities

• Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
• Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
• Automate ML workflows using CI/CD best practices and tools.
• Ensure model reproducibility, governance, and performance tracking.
• Monitor deployed models for data drift, model decay, and performance metrics.
• Implement robust versioning and model registry systems.
• Apply security, performance, and compliance best practices across ML systems.
• Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.

Required Skills & Qualifications

• 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
• Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
• Working knowledge of AWS DataZone (preferred).
• Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
• Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
• Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
• Solid understanding of DevOps and cloud-native infrastructure practices.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

• Designing and developing an advanced application for the IOS

• Unit-testingcode for robustness, including edge cases, usability, and general reliability

• Bug fixing and improving application performance

• Design and build advanced applications for the iOS  platform

• Collaborate with cross-functional teams to define, design, and ship new features

• Work with outside data sources and APIs

• Design, build, and maintain high-performance, reusable,and reliable objective-C/Swift

• Help maintain code quality, organization,and automation

• Work with product managers and other stakeholders to provide technical requirements

• Troubleshoot and fix software defects using an issue tracking system

• Perform code reviews with other developers