11+ InfoCube Jobs in Bangalore (Bengaluru) | InfoCube Job openings in Bangalore (Bengaluru)

Job Summary:

We are looking for experienced SAP BW Consultants with a minimum of 5 years of relevant experience to support BW landscape analysis, dependency mapping, complexity assessment, and effort estimation activities. The ideal candidate should possess strong expertise in SAP BW architecture, data modeling, reporting structures, and end-to-end data flow analysis.

Key Responsibilities:

• Analyze and review SAP BW objects including DSOs, Advanced DSOs, InfoCubes, InfoObjects, PSA, Transformations, Data Transfer Processes (DTPs), InfoSets, CompositeProviders, MultiProviders, Views, BEx Queries, and Process Chains.

• Validate scope inventory and assess the completeness and accuracy of BW components.

• Map high-level Source → BW → Reporting data flows and document dependencies.

• Identify technical gaps, inconsistencies, and optimization opportunities within the BW environment.

• Perform dataset dependency analysis and support impact assessment activities.

• Contribute to complexity scoring and provide inputs for effort estimation.

• Collaborate with business stakeholders, functional teams, and technical teams to gather and validate requirements.

• Prepare technical documentation, assessment reports, and findings.

Required Skills:

• Minimum 5 years of hands-on experience in SAP BW/BI.

• Strong knowledge of SAP BW architecture, data modeling, and reporting frameworks.

• Experience working with InfoProviders, Transformations, DTPs, Process Chains, and BEx reporting.

• Ability to analyze end-to-end data flows and dependencies.

• Strong analytical, troubleshooting, and documentation skills.

• Experience in system assessment, migration, upgrade, or transformation projects will be an added advantage.

• Excellent communication and stakeholder management skills.

Preferred:

• Experience with SAP BW on HANA.

• Exposure to SAP Analytics, reporting tools, or data migration projects.

• Ability to work independently in a fast-paced environment.

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Mandatory (Experience 1) – Must have 4+ years of software engineering experience

Mandatory (Experience 2) – Must have proven1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale

Mandatory (Experience 3) – Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc

Mandatory (Experience 4) – Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability

Mandatory (Team Lead) – Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership

Mandatory (Programming Skills) – Must have strong programming skills in Python, Java, C++ , etc

We are looking for Developers, Technical Leads and Architects for SailPoint IDN & IIQ Platform. As a Security professional you will be responsible for defining requirements, designing & building security components, & testing SailPoint IDN & IIQ Platform.

Roles & Responsibilities:

1. Configuration, customization, and design SailPoint. 

2. Experience in virtual appliance (VA) concepts, Identity Profiles, cloud rules, 

3. Transformation rule, migration, and deployments. 

4. Ability to Setup, Troubleshoot Configure SailPoint integration with different systems. 

5. Able to quickly onboard application and migrating users. 

6. Ability to build java bean shell, workflow, JML, custom rules. 

7. Liaison with teams on delivery, helping them on issue technical issue, bugs fixing and enhancements

Professional & Technical Skills:

1. Should have the ability to understand customer requirements. 

2. knowledge on Integrating various platforms with SailPoint, such as Active Directory, HR apps, SAP Systems, Workday, AD, Azure O365, JDBC and Other cloud applications. 

3. Implementation knowledge on Access request customization. 

4. Hands on experience in Customization of Quicklink, User LCM, Certification, Custom workflows, forms, Rules, SailPoint IIQ API/ REST API etc. 

5. Implementation experience in Certification, Custom reports Auditing. 

6. Strong JAVA/J2EE Development Knowledge 

We are looking for a skilled and self-driven Data Engineer to strengthen our data platform and

improve overall data quality, reliability, and usability for customers and internal stakeholders.

This role is critical to building and maintaining scalable data pipelines, well-structured data

models, and analytics-ready systems. The ideal candidate has startup experience, enjoys

building systems from scratch, and takes ownership end to end.

Roles and Responsibilities

● Design, build, and maintain scalable data pipelines and ETL workflows to support

analytics and product use cases.

● Develop and manage data warehousing solutions using platforms like Snowflake,

Redshift, or ClickHouse.

● Ensure data quality, consistency, and reliability across all data sources and downstream

systems.

● Collaborate closely with product, analytics, and engineering teams to understand data

requirements.

● Build and optimize data models for reporting, dashboards, and analytics.

● Support and enable BI tools such as Power BI, Tableau, or Metabase.

● Monitor pipelines, troubleshoot issues, and continuously improve performance.

● Document data workflows, schemas, and processes for clarity and maintainability.

Skills and Qualifications

● Strong proficiency in SQL

● Experience with data warehousing platforms (i.e. Snowflake, Redshift, ClickHouse)

● Hands-on experience with ETL orchestration tools (i.e. Airflow, dbt, Dagster)

● Experience with dashboarding tools (Power BI, Tableau, Metabase)

● Strong programming skills in Python

● AWS experience is preferred

● Self-starter mindset with startup experience

● Strong problem-solving abilities

● Highly organized with a systems-thinking approach

● Ownership-driven and accountable

● Clear and effective communicator

• 5+ years full-stack development
• Proficiency in AWS cloud-native development
• Experience with microservices & async architectures
• Strong TypeScript proficiency
• Strong Python proficiency
• React.js expertise
• Next.js expertise
• PostgreSQL + PostGIS experience
• GraphQL development experience
• Prisma ORM experience
• Experience in B2C product development(Retail/Ecommerce)
• Looking for candidates based out of Bangalore only

CTC: up to 40 LPA

If interested kindly share your updated resume at 82008 31681

Work with the manager through the entire analytical and machine learning model life cycle:

⮚ Define the problem statement

⮚ Build and clean datasets

⮚ Exploratory data analysis

⮚ Feature engineering

⮚ Apply ML algorithms and assess the performance

⮚ Codify for deployment

⮚ Test and troubleshoot the code

⮚ Communicate analysis to stakeholders

Technical Skills

⮚ Proven experience in usage of Python and SQL

⮚ Excellent in programming and statistics

⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium, Postman, Airflow, PySpark

Mentoring teams to carry forward recognised and optimised solutions, building conducive environments for knowledge transfer and maintaining standards in terms of deliveries form a major part of responsibilities.

Responsibilities

• Design and develop robust scalable database systems
• Design, build and deploy internal applications to support our native technical ecosystem
• Collaborate with Subject-Matter experts to design data-driven modules for analysis

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or equivalent
• 3-4 years of experience in Java

Skills

• Expertise in object-oriented programming concepts and data structures
• Strong knowledge of working with XMLs/Jsons
• Experience with large-scale distributed storage and database systems (MySQL, MongoDB, GraphDB)
• Good knowledge of indexing/search libraries like Lucene/Solr/Elasticsearch
• Exposure to Spring MVC architecture and RESTful APIs
• Well-versed with Agile methodology of SDLC
• Good to have: Knowledge of standard DevOps skills like Build tools (Maven/gradle), Continuous integration (Jenkins), Version Control (Github/Gitlab)

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler