Senior Data Quality Engineer

Eligibility:

• Only IIT / NIT graduates
• Immediate joiners preferred

Mandatory Skills:

• Strong experience in Core Java
• Spring Boot & Microservices
• REST APIs
• SQL / Relational Databases
• Data Structures & Algorithms
• Strong problem-solving skills
• Experience in designing scalable backend applications

Good to Have:

• Cloud (AWS/Azure/GCP)
• Kafka / Messaging Systems
• Docker & Kubernetes

Interested candidates who meet the above criteria can share their updated resume along with:

• Total Experience
• Current CTC
• Expected CTC
• Notice Period
• Current Location

In this role, you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• 4 year's experience 
• Senior data scientist preferable with knowledge of NLP
• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc.).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, data mining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java

About us:

Corporater is a global software company that enables medium and large organizations worldwide to manage their business with integrated software solutions for governance, performance, risk, and compliance (GPRC) built on a single platform. Corporater provides the world's leading Business Management Platform which offers 'One View, One Platform' for a holistic and complete overview of business.

Our signature solutions include Integrated Risk Management, Enterprise Risk Management, Operational Risk Management, Business Continuity Management, Internal Audit Management, Operational Resilience, Regulatory and Organizational Compliance Management, Data Privacy Management, Project and Portfolio Management, Performance Management, Strategy Management, and others. All Corporater solutions can be used straight out of the box as point solutions, or in combination with other Corporater solutions to form a holistic GRC program.

Corporater solutions are used by top organizations in various industries and functions, including state and local government, energy, education, banking and finance, oil and gas, shipping, manufacturing, healthcare, communications, technology, logistics, food and agriculture, media, and non-profit.

About the Role:

As a GRC Implementation Consultant, you will be responsible for configuring, customizing, and deploying Corporater’s GRC solutions to help organizations manage risk, ensure regulatory compliance, and strengthen governance processes.

You’ll collaborate with business leaders, compliance teams, and IT stakeholders to understand their requirements and implement solutions that improve operational efficiency and regulatory adherence.

This is a client-facing role that involves working with global enterprises, requiring both technical expertise and strong consulting skills.

You will, from time to time, be required to travel overseas (Middle East /Europe) and must have a valid passport. We will accommodate any visas required.

Key Roles & Responsibilities:

Implementation & Solution Design

Ø  Lead requirements gathering workshops with clients to understand their governance, risk, and compliance needs.

Ø  Analyze business processes and regulatory requirements to design GRC workflows and automation strategies.

Ø  Configure Corporater’s Business Management Platform to support risk management, policy enforcement, internal audit, and regulatory compliance.

Ø  Develop custom workflows, dashboards, and business rules based on client requirements.

Ø  Ensure solutions are designed to scale and integrate seamlessly with enterprise IT ecosystems (e.g., ERP, IAM, ITSM, Data Analytics).

Ø  Provide technical leadership in aligning solution design with industry standards (e.g., ISO 27001, NIST, GDPR, SOX, PCI-DSS).

Technical Configuration & Customization:

Ø  Customize GRC modules and workflows to fit specific business use cases.

Ø  Implement role-based access controls (RBAC), risk assessments, and compliance tracking systems.

Ø  Design and configure risk heatmaps, KPI reports, and dashboards to provide actionable insights.

Ø  Develop data connectors and API integrations to enable seamless data exchange between Corporater’s platform and enterprise systems.

Ø  Optimize system performance, security, and usability through best practices in deployment.

Ø  Troubleshoot and resolve technical issues related to solution implementation and configuration.

 Client Engagement & Project Execution:

Ø  Act as a trusted advisor, providing GRC best practices and compliance strategies to clients.

Ø  Lead end-to-end solution deployments, from initial planning to post-go-live support.

Ø  Conduct UAT (User Acceptance Testing) sessions with business users and make necessary refinements.

Ø  Ensure clients maximize adoption of the platform by aligning solutions with their strategic goals.

Ø  Maintain detailed documentation of implementation steps, configurations, and best practices.

Training & Support:

Ø  Develop user guides, technical documentation, and knowledge base articles to support clients.

Ø  Conduct training sessions for end-users and administrators to ensure smooth adoption.

Ø  Provide post-implementation support to troubleshoot issues and fine-tune configurations.

Ø  Continuously improve implementation methodologies to enhance efficiency and client satisfaction.

Continuous Learning & Innovation:

Ø  Stay updated on emerging GRC regulations, risk management trends, and compliance best practices.

Ø  Contribute to internal knowledge-sharing by documenting best practices and lessons learned from projects.

Ø  Work closely with Corporater’s Product and Engineering teams to provide feedback for platform enhancements.

What You’ll Need to Succeed:

Ø  Bachelor’s degree in Engineering, Computer Science, or a related field.

Ø  3-5 years of experience implementing GRC solutions (e.g., Corporater,RSA Archer, MetricStream, ServiceNow GRC, OneTrust, or similar) for Implementation Consultant role.

Ø  7-10 years of experience implementing GRC solutions (e.g., Corporater, RSA Archer, MetricStream, ServiceNow GRC, OneTrust, or similar) for Sr.Implementation Consultant role.

Ø  Strong understanding of risk management & compliance frameworks (e.g., ISO 27001, NIST, SOX, GDPR, PCI-DSS).

Ø  Hands-on experience in workflow automation, business rules configuration, and role-based access control.

Ø  Technical expertise in API-based integrations, SQL databases, and reporting tools.

Ø  Excellent problem-solving, communication, and client-facing skills.

Ø  Ability to manage multiple projects and work in a fast-paced, dynamic environment.

Bonus Points if You Have:

Ø  Experience with cloud-based GRC solutions.

Ø  Familiarity with third-party risk management, IT risk, or internal audit frameworks.

Ø  Working knowledge of data analytics, AI-driven risk assessment, or regulatory compliance automation.

Thanks & Regards

Inside Sales Executive - Lead Generation

Summary:

Passionate and energetic inside sales personnel who can connect and engage with leads via outbound calls, set up appointments and communicate the company's brand identity.

2 years of inside calling experience around IT hardware and software sales

Identify prospects grow and manage sales pipeline to achieve targets

Coordinate software demos and service presentations with prospects and the internal business development team.

Experience in market research, data mining and cold calling.

Generate new potential clients through cold calling, and social media platforms.

Communicating with the Organization heads and scheduling the appointments for product demos.

Self-motivated, and able to work independently and as a member of a remote team.

Proven ability to build and manage a sales pipeline and achieve targets

Market Research to identify new markets and prospects.

Excellent communication skills (presentation, verbal, and written)

Demonstrated expertise in building and maintaining client relationships

Good convincing ability and confident personality.

Data-driven approach towards the sales process.

Full understanding of the sales process from database generation to fixing the appointments.

Min 1 year of relevant experience in software/hardware sales

Strong communication and presentation skills.

Knowledge of lead generation and email hunting.

Excellent knowledge of search engines, web analytics and business research tools.

Adequate knowledge of data collection methods.

Strong analytical and critical thinking.

Good working knowledge of MS Word and Excel

Responsibilities

Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails

Prospect call preparation including company background research and other pertinent lead information

Identify customer's buying trends and provide reports to management

Location: Mumbai & Nashik

Job Types: Full-time, Permanent, Temporary

The Product Management Analyst will play a crucial role in supporting the product management team by analyzing market trends, customer needs, and product performance. This individual will help in the creation, development, and management of products throughout their lifecycle. The ideal candidate will have strong analytical skills, a deep understanding of product management processes, and the ability to translate data into actionable insights.

Key Responsibilities:

• Market Research and Analysis:
• Conduct thorough market research to identify trends, opportunities, and competitive landscape.
• Analyze customer feedback and behavior to understand their needs and preferences.
• Monitor industry developments and report on their potential impact on our products.
• Data Analysis:
• Collect, analyze, and interpret data from various sources to inform product decisions.
• Develop and maintain dashboards and reports to track product performance and key metrics.
• Provide actionable insights and recommendations based on data analysis.

DataPower With APIC Development and Admin skills with Python or shell script
Exp.level: 4 - 7 Years

• IBM Cloud Pack- API Connect Developer:

• Data Power virtual appliance on Docker containers within Kubernetes cluster.

• setup API Connect Cloud manage

• setup Portal and analytics endpoints for the APIs to give more data analytics to the application teams.

• Register and troubleshoot Gateway Service with API Connect Gateway object on Data Power appliance

• Configure Mutual Authentication mechanism by creating Identification Credentials and Validation credentials to validate the server certificates

• Create organizations in API Connect to provide the architecture to create APIs using API connect manager

• Ability to create spaces and products on APIC and support multiple teams using them

• Knowledge of concepts and implementation of these on APIC – JWT, Bearer, Basic AUTH

• Integration with LDAP and troubleshooting

• WTX, COBOL Copybook, XML, XSL, Gateway scripting

• Networking concepts and integration with AWS concepts like VPC, NLB, etc

• Cloudwatch integration