11+ Data Transfer Process Jobs in Bangalore (Bengaluru) | Data Transfer Process 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.

MeltPlan | Planning Engine for the Built Environment

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders.

MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn health-tech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution.

What This Role Really Is

We are hiring a UI Engineering Lead with minimum 10 years of work exp,to drive frontend architecture scalable UI systems, and user experience across internal and external applications. The role involves building modern web applications using React, TypeScript, Next.js, Vite, and TailwindCSS, while leading reusable component development and microfrontend architecture using Module Federation. You will work closely with product and engineering teams, integrate Firebase services, and ensure frontend quality through Playwright and Vitest testing frameworks. The ideal candidate should have strong expertise in frontend engineering, scalable design systems, and modern UI architecture.

What You’ll Do

• Build and maintain scalable frontend applications using React, TypeScript, and Next.js
• Develop modern UI systems using TailwindCSS and reusable component patterns
• Work on microfrontend architecture using Module Federation
• Collaborate with product and design teams to deliver intuitive user experiences
• Integrate frontend applications with Firebase services
• Improve application performance, accessibility, and responsiveness
• Build and maintain frontend testing pipelines using Playwright and Vitest
• Participate in architecture discussions and frontend best practices
• Create reusable shared libraries and scalable frontend modules
• Optimize frontend developer experience and application maintainability
• Work closely with backend and platform teams for seamless integrations
• Contribute to code reviews, technical documentation, and engineering standards

What We’re Looking For

• Strong experience with React and TypeScript
• Hands-on experience with Next.js
• Experience building scalable frontend architectures
• Strong understanding of Microfrontend architecture and Module Federation
• Experience with Vite ecosystem
• Strong understanding of TailwindCSS and modern UI systems
• Experience integrating applications with Firebase
• Strong knowledge of frontend performance optimization
• Experience writing automated frontend tests using Playwright and Vitest
• Strong understanding of responsive design and accessibility
• Familiarity with component-driven development
• Experience working in fast-paced product environments
• Strong problem-solving and debugging skills
• Good communication and collaboration skills

Bonus if you’ve worked in early-stage startups or B2B SaaS.

Why MeltPlan

• Massive industry, real-world impact
• High ownership from day one
• Small team, zero bureaucracy
• Competitive comp + meaningful equity

How to Apply

Send us:

• Your GitHub
• Links to products you’ve shipped
• A short note on something you built that you’re proud of

We value builders. Show us what you’ve made.

We are seeking a skilled Java Developer with hands-on experience in Java and Spark to build scalable data processing solutions. You'll contribute to high-performance data pipelines and analytics platforms in a dynamic Agile environment.

Key Responsibilities

• Design and develop Java applications integrated with Apache Spark for ETL processes, data transformations, and analytics.
• Build and optimize Spark jobs (Spark SQL, DataFrames, Streaming) for large-scale data processing.
• Collaborate with data engineers and analysts to implement robust data workflows.
• Write clean, maintainable Java code following best practices (Spring Boot, Microservices preferred).
• Perform code reviews, unit testing, and contribute to CI/CD pipelines.
• Troubleshoot and optimize Spark performance for production workloads.
• Document technical solutions and mentor junior developers.

Required Skills & Qualifications

• 4-7 years of hands-on Java development experience.
• Strong expertise in Apache Spark (Spark Core, Spark SQL, PySpark basics).
• Proficiency in Java 8/11+ with multithreading and collections frameworks.
• Experience with data processing (ETL, data pipelines, big data).
• Familiarity with build tools (Maven/Gradle) and version control (Git).
• Strong problem-solving skills and Bangalore location availability.
• Excellent communication skills for cross-team collaboration.

Good to Have

• Experience with Snowflake for cloud data warehousing.
• Knowledge of DBT (Data Build Tool) for analytics engineering.
• Python scripting for data manipulation and automation.
• Exposure to AWS/GCP/Azure cloud platforms.
• Familiarity with Kafka, Airflow, or containerization (Docker/Kubernetes).

Strong Senior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production

Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation

Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects

Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations

Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

Mandatory (Company) – Product companies / startups, preferably Series A to Series D

Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs

Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience

POSITION / TITLE: Data Science Lead

Location: Offshore – Hyderabad/Bangalore/Pune

Who are we looking for?

Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. 

‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

· Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

· Perform data cleaning, feature engineering, and exploratory data analysis.  

· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

· Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

· Ability to translate complex machine learning problem statements into specific deliverables and requirements.

· Should have worked with major cloud platforms such as AWS, Azure or GCP.

· Working knowledge of SQL and no-SQL databases.

· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

· Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills – Good to have:

· Track record of getting ML models into production

· Experience building chatbots.

· Experience with closed and open source LLMs.

· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…

· Certifications or courses in data science.

Education:

· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. 

Process Skills:

· Understanding of  Agile and Scrum  methodologies.  

· Ability to follow SDLC processes and contribute to technical documentation.  

Behavioral Skills :

· Self-motivated and capable of working independently with minimal management supervision.

· Well-developed design, analytical & problem-solving skills

· Excellent communication and interpersonal skills.  

· Excellent team player, able to work with virtual teams in several time zones.

• Strong architecture and design skills and keen business sense. -
• Ownership of projects and technical areas. -
• Strong core server-side technologies experience (Java), database design & performance tuning exposure. -
• Strong OO design skills, knowledge of frameworks such as Spring/ Spring Boot/ exposure to functional programming a plus. -
• Good knowledge of nodeJS/ noSQL a definite plus. -
• Good exposure to front end/UI skills (JS, HTML, Angular). -
• Good exposure to configuration management, testing, deployment. -
• Deep knowhow of data structures, algorithms. -
• Hands on development across technologies.
• Exp- 6-8 years.
• Qual- B.E/ B.Tech (Computer Science/ Equivalent) from a premier institute.

Job Title:  Sr. Test Engineer
Experience: 4 to 6 Years

Education: Bachelor's degree in engineering

Work Location: Bangalore

Detailed JD:

Must Have:

1. Should have knowledge of selenium frameworks.
2. Should have experience in python scripting for selenium using pytest in pycharm
3. Good knowledge of Manual testing
4. Profound knowledge of SDLC/STLC
5. Good knowledge of Test management tools like JIRA with Zypher
6. Basic knowledge of Azure or experience testing applications in cloud environments
7. Jenkins and CI/CD pipeline experience