Senior Product Analyst

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Manager - Regional Product development

Senior Application Developer - MS Power Apps

Sales and Marketing Analyst Role

Intermediate Application Developer - Java Full Stack

Responsibilities: <ul><li>Elicit, analyze, and translate user needs into detailed, actionable requirements for the pod</li><li>Define and manage use cases, user stories, process flows, and visualizations to support development</li><li>Partner with design and engineering to explain functional requirements and continuously improve user experience</li><li>Maintain a backlog that stays 2–3 sprints ahead, ensuring clear Definitions of Ready and Done for all features</li><li>Communicate product vision and requirements effectively to developers, testers, and stakeholders</li><li>Support User Acceptance Testing by writing UAT scripts and participating in testing cycles as needed</li><li>Document confirmed business processes to serve as reference for development and IT support teams</li><li>Apply business process improvement methodologies to optimize workflows and system efficiency</li><li>Collaborate closely with the Product Manager to ensure backlog priorities align with business objectives</li><li>Track delivery metrics and build reports to measure progress, quality, and outcomes</li><li>Manage cross-pod dependencies in partnership with the Technical Product Manager</li><li>Ensure compliance with applicable standards by maintaining SDLC documentation, system configurations, and audit artifacts</li><li>Maintain a strong understanding of the IT application portfolio, developing deep expertise in specific products or BPM domains</li><li>Support and facilitate system demonstrations, including Inspect &amp; Adapt workshops, as required</li></ul> Requirements: <ul><li>Proven knowledge and understanding of standard practices, technology and supporting industry principles</li><li>Experience gathering requirements and translating into a product vision by leveraging their expertise in product development, engineering and UX</li><li>Deep understanding of business/processes and high-level understanding of high-quality digital product delivery</li><li>Experienced in managing a product backlog/release plan, tracking team level metrics, attend product team ceremonies, removing blockers (burndown chart, release burn up, etc.)</li><li>Experienced in developing systems and tools to enable customer interactions and collaboration (e.g., digital self, precision marketing, DAM, immersive technology)</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</li></ul>

Responsibilities: <ul><li>Perform systems analysis and design for applications deployed using Ansible and OpenShift.</li><li>Design and develop moderate to complex applications in alignment with business and technical requirements.</li><li>Create, maintain, and ensure accuracy of comprehensive application documentation.</li><li>Define, build, and deliver application and system integration builds.</li><li>Monitor, evaluate, and apply emerging technology trends to improve system architecture and development practices.</li></ul> Requirements: <ul><li>5+ years of experience</li><li>Bachelor’s Degree or International equivalent&nbsp;</li><li>Extensive experience with core Java concepts and Java EE.</li><li>Extensive experience with Spring and Spring Boot.</li><li>Experience with CI/CD code automation, Ansible &amp; DevOps</li><li>Experience with OpenShift</li><li>Good understanding of software architecture and design principles.</li><li>Understanding of data structures, programming logic, and design</li><li>Understanding of application design patterns</li><li>Excellent written &amp; verbal communication skills</li><li>Excellent attention to detail</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: <ul><li>Mapping the current universe of regional products.</li><li>Range-planning for regional products: Identifying the gaps in the current universe, based on customer, community understanding as well as competitive indexing.</li><li>Accordingly, planning for product introduction for ensuring that these product gaps are filled.</li><li>Collaborating with the regional vendors to ensure the development of products to fill the product gap happens on a regular &amp; timely basis.</li><li>Wherever required, work closely with the Responsible Sourcing teams for the timely onboarding on relevant and capable vendor partners.</li><li>Review of product performance and decision making on product- continuation.</li><li>Engaging closely with the Retail stores for driving decisions on range expansion/discontinuation.</li><li>To introduce the right regional products by generating an in-depth understanding of cultural, ritualistic and community- specific requirements for jewelry and by undertaking extensive indexing of relevant competition.</li><li>On this basis to work closely with the Cluster management and the regional teams for determining the appropriate sales plan and the supporting assortment plans.</li><li>This role will also be responsible for identifying regionally relevant products or categories that can be imbued with Client signature and promoted as such.</li><li>As a part of the WiMI programme, this role will also work closely with the regional DEC and the Cluster management teams on the development of regionally relevant, marketed collections aligned to regional marketing calendar.&nbsp;</li></ul> Requirements: Relevant Experience: <ul><li>10 -15 years with experience in Sourcing or Product development or Design or Merchandising. functions with National or Regional jewelry brands.</li><li>Prior work in the jewelry sector and a thorough understanding of regional nuances is a must.</li><li>Category management experience.&nbsp;</li><li>Business acumen.&nbsp;</li><li>Analytical ability.</li><li>Vendor management experience.</li></ul>

Responsibilities: <ul><li>Lead the design and development of complex Power Apps solutions (both canvas and model-driven) to meet advanced business requirements.</li><li>Architect and implement sophisticated Power Automate workflows (including child flows and RPA) that integrate with various systems and APIs.</li><li>Develop custom business logic and integrations (using advanced Power Fx, Azure Functions, custom connectors, etc.) to extend Power Platform capabilities.</li><li>Configure and optimize Microsoft Dataverse schemas, Azure SQL Tables. Manage data flows between Power Apps and external databases or ERP/CRM systems.</li><li>Ensure solutions are secure, scalable, and compliant with best practices (including governance, authentication, and data validation) .</li><li>Troubleshoot and resolve production issues and performance bottlenecks in Power Platform applications</li><li>Mentor junior developers and work closely with cross-functional teams (business analysts, IT, etc.) to support the full application lifecycle and drive continuous improvement.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Engineering, or a related technical field and 6 - 9 years of hands-on Power Platform development experience</li><li>Expert proficiency in Power Apps development (Canvas and Model-driven) including advanced Power Fx, component framework (PCF), and ALM practices</li><li>Extensive experience with Power Automate (cloud flows, UI flows) and proven ability to integrate Power Platform with other systems and services</li><li>Strong programming skills (JavaScript/TypeScript, C#, .NET, HTML) and experience with RESTful APIs and Azure development tools (Visual Studio, VS Code)</li><li>Experience with data modeling and database design (Microsoft Dataverse, SQL Server, Azure SQL)</li><li>Solid understanding of security and authentication (Azure AD) in the Power Platform context</li><li>Excellent problem-solving skills and the ability to translate business needs into technical solutions</li><li>Strong communication and collaboration skills for engaging with stakeholders and mentoring team members</li></ul>

Role Definition Supports the management of key accounts, sales support, and account planning and assists with identifying and pursuing new opportunities and addressing customer issues. Education and Experience 1.	Graduate (B-Tech – Mechanical, Electrical OR Electronics) 2.	Min 3-5 Years Experience in similar field or work area. 3.	Job Location: Chennai Tamil Nadu 4.	Language : Should know English, Tamil. Further Malayalam/Kannada is an added advantage 5.	Should be ready in case of any relocation Responsibilities 1.	Manage the complete sales cycle — from quotation to order closure and payment follow-up. 2.	Build and sustain strong client relationships ensuring satisfaction and repeat business. 3.	Understand client needs and provide tailored solutions. 4.	Achieve or exceed sales targets. 5.	Identify upselling and cross-selling opportunities. 6.	Develop strategies to grow existing accounts. 7.	Create account plans outlining goals, strategies, and timelines. 8.	Monitor account performance and adjust plans as needed. 9.	Work closely with internal teams (marketing, product, support) to deliver client solutions. 10.	Track sales metrics and prepare regular reports for management. 11.	Analyze market trends and competitor activities. 12.	Identify and develop new business opportunities within existing and new accounts. 13.	Collaborate with internal teams to ensure timely delivery and service quality. Track account performance, revenue growth, and market opportunities proactively x

Responsibilities: Development:&nbsp; <ul><li>Development of complex applications and services using best practices and coding standards</li></ul> Integration:&nbsp; <ul><li>Collaborate with other development teams to integrate various systems and services.</li></ul> Troubleshooting:&nbsp; <ul><li>Troubleshooting and resolution of technical issues.</li><li>Contributes to maintenance and support.</li></ul> Requirements: <ul><li>Minimum 5 to 7 years of development experience.</li><li>Knowledge and development experience on any WMS Knowledge is preferable.</li><li>Experience working on in SCRUM &amp; Agile Development Methodology&nbsp;</li><li>PMP or equivalent certification preferable.</li><li>Self-Motivated Learner</li><li>Excellent written and verbal communication skills.</li><li>Bachelors degree and/or master’s degree in computer science or related discipline or the equivalent in education and work experience</li></ul>

Skills

Industry

Location

Jobtitle

9 chennai Jobs found

Senior Product Analyst

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Manager - Regional Product development

Senior Application Developer - MS Power Apps

Sales and Marketing Analyst Role

Intermediate Application Developer - Java Full Stack

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

9 chennai Jobs found

Senior Product Analyst

IAD / SAD / LAD GCP Data Engineer

IAD / SAD Developer Ansible OpenShift

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

Manager - Regional Product development

Senior Application Developer - MS Power Apps

Sales and Marketing Analyst Role

Intermediate Application Developer - Java Full Stack

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.