11+ PRD Jobs in Chennai | PRD Job openings in Chennai

Company Description

ExpertusONE is the zero-compromises enterprise learning platform trusted by global leaders like Siemens, Hitachi, and ABB. The platform blends elegant design, intuitive functionality, and mobile-anywhere solutions to meet diverse learning, training, and skills development needs. It interoperates seamlessly with applications like Salesforce, Slack, and Microsoft Teams, enhancing the learning experience with personalized content and interactive modules.

Role Description

As a B2B SaaS Product Manager, you will play a pivotal role in defining and driving the success of our business-to-business (B2B) software-as-a-service (SaaS) products. You will be responsible for overseeing the entire product lifecycle, from concept to launch. Your primary focus will be on understanding market needs, defining product strategies, and collaborating with cross-functional teams to deliver innovative solutions that meet our customers' requirements to drive revenue growth.

• Proven experience as a Product Manager in the B2B SaaS industry with deep understanding of content player technology, user experience, and market trends.
• Familiarity with agile development methodologies.
• A deep understanding of B2B customer needs and market dynamics ensuring that our content delivery solutions meet the highest standards of quality and performance.
• Experience with project management and product management tools.
• Strong analytical skills and the ability to make data-driven decisions.
• Excellent communication and interpersonal skills.

Key Responsibilities:

• Ability to work within a fast-paced team with high proficiency in writing clean, well-structured Product Specification Documents
• Identify opportunities for product improvements and optimizations based on data-driven insights.
• Collaborate with UX/UI designers to ensure the product provides an exceptional user experience and aligns with brand guidelines.
• Continuously monitor industry developments, competitive landscapes, and customer feedback to refine the product roadmap.
• Conduct market research to identify customer needs, pain points, and emerging opportunities.
• Gather and analyze customer feedback, user data, and market trends to inform product decisions.
• Develop a clear and compelling product vision and strategy aligned with the company's goals and market trends.
• Define clear product requirements, user stories, and use cases to guide development teams.
• Create and prioritize the product roadmap based on strategic objectives, customer requirements, and business priorities.
• Manage the product development process from concept to launch, ensuring timely delivery of high-quality software.
• Facilitate communication and collaboration between different departments to achieve product goals.
• Monitor product performance metrics, including user adoption, retention, and revenue.

If you're passionate about building world-class B2B SaaS products that transform enterprise learning experiences, we’d love to hear from you.

Connect with me on LinkedIn to apply - www.linkedin.com/in/swetha-vijayakumar-b1333022a

Strong Azure Databricks Engineer / Senior Data Engineer Profile

2

Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3

Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4

Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5

Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6

Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7

Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8

Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10

Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Role: Data Science with GCP

Locations: Chennai

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Summary:

The ideal candidate should have strong expertise in Python| Machine Learning| Data Analysis| and Google Cloud Platform (GCP). This role requires close collaboration with business stakeholders to understand business challenges| translate requirements into actionable business cases| identify opportunities for improvement| and develop data-driven solutions that deliver measurable business value.

Responsibilities:

• Business & Stakeholder Management
• Engage with business stakeholders to understand business problems| goals| and requirements.
• Translate business requirements into clear analytical and machine learning use cases.
• Formulate business cases and define success metrics for proposed solutions.
• Collaborate with cross-functional teams including Product| Engineering| Operations| and Business teams.
• Data Analysis & Problem Identification
• Analyze existing applications| systems| and business processes to identify inefficiencies and improvement opportunities.
• Perform root cause analysis on business and operational challenges.
• Conduct exploratory data analysis (EDA) to discover trends| patterns| and anomalies.
• Generate actionable insights that support strategic business decisions.
• Machine Learning & Advanced AnalyticsDesign| develop| train| and deploy Machine Learning models.
• Implement predictive| classification| recommendation| forecasting| and anomaly detection solutions.
• Data Engineering & CloudWork with structured and unstructured datasets from multiple sources.
• Utilize GCP services such as:
• BigQuery
• Vertex
• AICloud Storage Cloud Functions

Technical Skills

• Strong proficiency in Python.
• Hands-on experience with: Pandas NumPyScikit-Learn TensorFlow/PyTorch, Matplotlib, Seaborn
• Strong understanding of: Machine Learning algorithms, Statistical analysis, Predictive modelling
• Hands-on experience with Google Cloud Platform (GCP).
• Knowledge of data visualization tools such as: Power BI/Tableau

Experience - 3+ years

Location - Indore /Chennai [WFO]

Technical Skills

• Hands-on Collibra Developer experience (3+ yrs) and knowledge of data governance.
• Strong knowledge of Collibra Asset Model, Collibra Operating Model, roles, and responsibilities
• Experience with Collibra Dashboards, Collibra Views, Collibra Lineage, HTML editing
• SQL expertise for building Collibra DQ Rules and data quality automation
• 
  

Key Responsibilities

• Develop, customize, and implement end-to-end Collibra workflows, including
• Collibra development - workflows (BPMN), dashboards, views, interfaces
• Collibra integration - Java, Spring Boot, APIs, ESB/MuleSoft
• Collibra Data Quality (DQ) - writing SQL rules, DQ scorecards, DQ monitoring
• Metadata management & data governance - asset models, communities, domains, lineage

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Application Link for quick response-  https://forms.gle/wFPNPLK4XE5L7MRk8

Job Description

Position: Chief Risk Officer 

Education Qualification: Bachelor's degree in finance, business administration, economics, or a related field

Experience: 12-14 years

Location:  Pan India with potential requirement to travel to the middle east

Employment Type:  contract for 6-12 months (Hybrid)

Responsibilities:

1. Enterprise Risk- ERM Framework: Implement a comprehensive risk management framework addressing operational, financial, and reputational risks.
2. Operational Risk: Identify and mitigate risks from internal processes and external threats (e.g., cybersecurity) and produce annual entity specific Risk Assessment.
3. Compliance Risk: Ensure adherence to QFCRA regulations and collaborate with the CCO and MLRO to manage compliance risks.
4. Risk Reporting: Provide regular risk reports to senior management and the board.
5. Produce annual entity specific Risk Appetite Statement.
6. Portfolio Investment Risk
7. Risk Assessment: Regularly analyze and monitor market, credit, and liquidity risks in the investment portfolio.
8. Risk Limits: Set and enforce risk limits aligned with the firm’s strategy and regulatory requirements.
9. Performance Monitoring: Track portfolio performance against risk benchmarks and report exposures to senior management.
10. Mitigation Strategies: Advise on hedging, diversification, and other techniques to manage investment risks.

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.

Our ideal candidate is comfortable collaborating with Product Owners, UX and UI Designers, Data Scientists and senior technical team members to build sound solutions to complex business challenges. A Self-starter and problem-solver will thrive in this position.

You should be strong JavaScript developer comfortable in all areas of the software development lifecycle and have experience with React, Node, Mongo, MySQL and Express in a scalable production environment. Some Python and familiarity with AWS would be welcomed.

Focus Areas and Core Responsibilities

Accountable for day-to-day implementation and launch of product roadmap features and updates.

Collaborate with Data Science, Tech and UX teams to create systems design and information architecture based off of user stories and requirements. Ensure test cases are properly written.

Maintain and work on the continuous improvement and development of company tools.

Coordinate with dev ops and QA to ensure continuous integration and deployment of production ready code.

Skillset, Qualifications, and Experience

• 5+ years of web application development experience including strong working knowledge of JavaScript, ReactJS, NodeJS, Mongo and Express.
• Familiar with asynchronous programming and object-oriented programming best practices. Must have prior experience with MVC design pattern
• Experience with node and linux commands necessary for debugging installations and deployment locally and on cloud services such as AWS
• Strong familiarity with a variety of APIs and RESTful interfaces
• Familiar with various methods for performance optimization
• Ability to work with UX/UI team to create a frictionless user experience and pixel perfect web components and data visualizations
• Experience integrating security best practices into the SDLC
• Expert level Git, including branching and best practices to resolve merge conflicts
• 1+ years of Agile development experience
• Experience manipulating and working with data in a variety of forms: csv, xml, json, structured and unstructured
• Excellent communicator who can work independently and be a team player
• Passion for Technology: excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges