11+ IBM Cognos Framework Manager Jobs in India

Job Title : Cognos BI Developer

Experience : 6+ Years

Location : Bangalore / Hyderabad (Hybrid)

Notice Period : Immediate Joiners Preferred (Candidates serving notice with 10–15 days left can be considered)

Interview Mode : Virtual

Job Description :

We are seeking an experienced Cognos BI Developer with strong data modeling, dashboarding, and reporting expertise to join our growing team. The ideal candidate should have a solid background in business intelligence, data visualization, and performance analysis, and be comfortable working in a hybrid setup from Bangalore or Hyderabad.

Mandatory Skills :

Cognos BI, Framework Manager, Cognos Dashboarding, SQL, Data Modeling, Report Development (charts, lists, cross tabs, maps), ETL Concepts, KPIs, Drill-through, Macros, Prompts, Filters, Calculations.

Key Responsibilities :

1. Understand business requirements in the BI context and design data models using Framework Manager to transform raw data into meaningful insights.
2. Develop interactive dashboards and reports using Cognos Dashboard.
3. Identify and define KPIs and create reports to monitor them effectively.
4. Analyze data and present actionable insights to support business decision-making.
5. Translate business requirements into technical specifications and determine timelines for execution.
6. Design and develop models in Framework Manager, publish packages, manage security, and create reports based on these packages.
7. Develop various types of reports, including charts, lists, cross tabs, and maps, and design dashboards combining multiple reports.
8. Implement reports using macros, prompts, filters, and calculations.
9. Perform data warehouse development activities and ensure seamless data flow.
10. Write and optimize SQL queries to investigate data and resolve performance issues.
11. Utilize Cognos features such as master-detail reports, drill-throughs, bookmarks, and page sets.
12. Analyze and improve ETL processes to enhance data integration.
13. Apply technical enhancements to existing BI systems to improve their performance and usability.
14. Possess solid understanding of database fundamentals, including relational and multidimensional database design.
15. Hands-on experience with Cognos Data Modules (data modeling) and dashboarding.

We are building VALLI AI SecurePay, an AI-powered fintech and cybersecurity platform focused on fraud detection and transaction risk scoring.

We are looking for an AI / Machine Learning Engineer with strong AWS experience to design, develop, and deploy ML models in a cloud-native environment.

Responsibilities:

- Build ML models for fraud detection and anomaly detection

- Work with transactional and behavioral data

- Deploy models on AWS (S3, SageMaker, EC2/Lambda)

- Build data pipelines and inference workflows

- Integrate ML models with backend APIs

Requirements:

- Strong Python and Machine Learning experience

- Hands-on AWS experience

- Experience deploying ML models in production

- Ability to work independently in a remote setup

Job Type: Contract / Freelance  

Duration: 3–6 months (extendable)  

Location: Remote (India)

Roles & Responsibilities

• Collaborate closely with clients to understand their requirements, goals, and any gaps.
• Lead the planning, prioritization, design, development, and deployment of projects.
• Possesses in-depth knowledge and expertise in Workday Integrations and Workday Extend Platform.
• Support existing Integrations and Extend apps by resolving issues and enhancing to add new functionalities.
• Act as a subject matter expert for Workday Extend and provide guidance to clients and colleagues.
• Stay updated with the latest industry trends and developments using Integrations and Extend.
• Collaborate with sales and business development teams to identify new opportunities and contribute to proposal development.
• Utilize your business knowledge and expertise to identify opportunities for technical improvements.
• Work with colleagues across various domains to deliver results and take ownership of both individual and team outcomes.
• Recognize and embody our purpose and values, applying them in your projects and client interactions.
• Foster relationships and communicate effectively to positively influence peers and stakeholders.

Qualifications & Experience

• At least 3 years of experience in Workday HCM and 2 years in Core Compensation is required.
• Hands-on experience in Advanced Compensation is a big plus.
• Bachelor’s degree in a related field or equivalent work experience.
• Good knowledge of HCM security.
• Basic understanding of Workday reporting and its relationship with HCM domain.
• Strong professional communication skills, both written and verbal.
• Proven ability to establish relationships with stakeholders and internal teams.
• Excellent attention to detail and follow-through.
• Preferred Time zone: Crossover with Central European Time zone or Eastern Standard Time Zone.

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

• Proficiency with React Native.
• Experience and Understanding of ES6 & JavaScript Concepts.
• Experience with React.js and Redux.
• Familiarity with native build tools, like XCode, Gradle Android Studio, IntelliJ
• Hands-on experience on Android, iOS platforms in creating Hybrid / Native applications.
• Has prior experience in creating bridging modules for React Native
• Understanding of the basic concepts of Android and iOS like Services, Background App Refresh, offline compatibility etc
• Hands on experience in Application Design and Development on React Native platform.
• Require knowledge of Version Control GIT.
• Understanding of Unit Testing, Debugging Methodology used in React Native Apps

• Team Members Handling Experience
• Perform checks on correct functionality of the app
• Work on bug fixing and improving application performance.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Knowledge of React and the Javascript ecosystem
• Exposure to building ReactNative components in native iOS.
• Knowledge of Beacons and IOT will be value addition.

• 5 Days Working
• Competitive Salary.
• Knowledge-Based Hierarchy 
• Trending Technology Development
• Career Development Programs.
• Tremendous Scope of Responsibilities and KPIs Aligned with Individual and Organisational Goals.
• Exposure to working with a team size of 50+.
• Good Project Incentives and Rewards.
• Monthly Rewards and Recognition Program- Star Performer of the Month.
• Work-Life Balance.
• Fantastic Team Spirit with Creative, Fun and Open Office Work Culture.

• Support the entire application lifecycle (concept, design, test, release and support)
• Produce fully functional mobile applications writing clean code of for React Native Platform.
• Gather specific requirements and suggest solutions.
• Troubleshoot and debug to optimize performance.
• Design interfaces to improve user experience.
• Liaise with the development team to plan new features.
• Ensure new and legacy applications meet quality standards.
• Research and suggest new mobile products, applications and protocols.
• Stay up-to-date with mobile new technology trends.

Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.

Summary

This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.

Essential/Primary Duties, Functions and Responsibilities

The essential duties and responsibilities of this position are as follows:

• Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
• Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
• Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
• Create and maintain optimal AWS data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
• Work with data and analytics experts to strive for greater functionality in our data systems

Requirements

• A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
• Experience with data lake and/or data warehouse implementation is required
• Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
• Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
• Experience with AWS based S3, Lambda, Step functions.
• Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
• Solid analytical and technical skill and the ability to exchange innovative ideas
• Quick learner and passionate about continuously developing your skills and knowledge
• Ability to solve problems by using AWS in data acquisitions
• Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.

What you need to have: