Raah Techservices
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Python
Data Science
Machine Learning (ML)We are looking for a Data Science & Machine Learning Senior Associate with 3–5 years of relevant experience in data science, machine learning, and analytics. The candidate will be responsible for developing predictive models, analyzing complex datasets, building scalable ML solutions, and supporting production-grade data science applications on cloud platforms.
Key Responsibilities
- Develop and implement machine learning and predictive analytics models.
- Perform data analysis, statistical modeling, and optimization to solve business problems.
- Build demand forecasting and predictive models using time-series and other advanced techniques.
- Work with large datasets using Python, SQL, PySpark, and cloud-based data platforms.
- Develop and maintain scalable data pipelines for ML model development and deployment.
- Implement MLOps practices including model deployment, monitoring, retraining, and data-drift detection.
- Collaborate with software engineers, product teams, and business stakeholders to convert business requirements into analytical solutions.
- Validate models for accuracy, robustness, bias, and production readiness.
- Create meaningful visualizations and communicate analytical insights to technical and non-technical stakeholders.
Required Skills
- Python
- SQL
- Data Science & Machine Learning
- Predictive Modeling
- Statistical Analysis
- Machine Learning Algorithms
- Optimization Techniques
- Google Cloud Platform (GCP)
- BigQuery
- Dataflow
- Dataproc
- Data Fusion
- Cloud SQL
- Airflow
- PySpark
- PostgreSQL
- Terraform
- Tekton
- APIs
- MLOps
Preferred Skill
- Java
Good to Have
- Demand Forecasting
- Time-Series Analysis
- Neural Networks
- Ensemble Methods
- Support Vector Machines (SVM)
- Regression and Cluster Analysis
- ML Model Testing
- Bias Detection and Data Drift Monitoring
- Production ML Deployment
- QlikSense
- Automotive or Supply Chain Analytics
Education
Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related technical field.Master's degree in a relevant quantitative or technical field is preferred.
Data Virtualization Engineer – Denodo
Location: Bangalore / Chennai / HyderabadExperience: 8+ Years
Job Overview:We are looking for an experienced Data Virtualization Engineer with strong expertise in Denodo Platform to design, develop, administer, and support data virtualization solutions. The candidate should have hands-on experience with Denodo, VQL, data sources, performance optimization, security, and integration with enterprise data platforms.
Key Responsibilities:
- Design and develop data virtualization solutions using the Denodo Platform.
- Configure and manage Denodo Virtual DataPort (VDP) environments.
- Develop and optimize views, data sources, and VQL queries.
- Integrate Denodo with databases, APIs, cloud platforms, and enterprise data sources.
- Perform performance tuning, troubleshooting, monitoring, and issue resolution.
- Manage security, authentication, access control, and data governance.
- Support Denodo upgrades, deployments, migrations, and production activities.
- Work closely with data engineers, architects, and application teams to deliver scalable data solutions.
Required Skills:Denodo Platform, Data Virtualization, Virtual DataPort (VDP), VQL, SQL, Data Integration, API Integration, Performance Tuning, Troubleshooting, Linux/Unix, Database Technologies, Security and Access Management.
Good to Have:Cloud platforms (Azure/AWS/GCP), REST APIs, ETL/ELT, Data Warehousing, Data Governance, CI/CD, and experience with Denodo administration.
Hiring: Denodo Administrator
Location: Bangalore / pune / Hyderabad💼
Experience: 7+ Years
Key Skills:
- Denodo Administration & Data Virtualization
- Linux/Unix Administration
- SQL Performance Tuning
- Oracle / SQL Server / DB2
- LDAP / AD / Kerberos / SSO
- Shell Scripting / Python
- AWS / Azure
🔹 Experience in Denodo platform administration, production support, performance tuning, security, deployment, and environment management.
Job Overview
We are looking for a Senior Accountant – US Taxation with 3+ years of relevant experience in US taxation and accounting. The candidate will be responsible for tax preparation, compliance, financial review, and supporting US federal and state tax requirements.
Key Responsibilities:
- Prepare and review US federal and state tax returns.
- Handle tax returns such as Form 1040, 1065, 1120, and 1120-S.
- Review financial statements and supporting documents for tax preparation.
- Prepare tax workpapers, reconciliations, and supporting schedules.
- Perform tax calculations, adjustments, and estimated tax payments.
- Research and interpret US federal and state tax regulations.
- Identify applicable tax deductions and credits.
- Assist with tax planning and compliance activities.
- Handle tax notices, extensions, and audit-related requirements.
- Review work prepared by junior accountants and provide guidance.
- Communicate with clients to collect required tax and financial information.
- Ensure accurate and timely completion of tax filings.
- Stay updated on changes in US tax laws and regulations.
Mandatory Skills
- 3+ years of experience in US Taxation / US Tax Accounting.
- Strong knowledge of US federal and state taxation.
- Hands-on experience with 1040, 1065, 1120, and 1120-S.
- Experience in individual and business tax preparation.
- Good understanding of US tax compliance and reporting requirements.
- Strong knowledge of MS Excel.
- Experience with accounting or tax preparation software.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently in a remote environment.
- Ability to manage multiple tasks and meet strict deadlines.
Good to Have
- CPA or EA (Enrolled Agent) certification.
- Experience with QuickBooks, CCH, UltraTax, Drake, or similar tax software.
- Experience with multi-state taxation.
- Knowledge of tax planning and tax research.
- Experience in reviewing and mentoring junior accountants.
Education
- Bachelor's degree in Accounting, Finance, Commerce, or a related field.
- CPA/EA certification is an added advantage.
Employment
- Full-Time
- Remote
- Experience: 3+ Years
We are seeking an experienced Informatica MDM Developer to design, develop, and implement Master Data Management (MDM) solutions using Informatica IDMC (SaaS). The role focuses on establishing a Single Source of Truth by integrating multiple data sources, enforcing data quality standards, and managing master data domains such as Customer, Product, Supplier, and Employee.
The engineer will collaborate closely with data stewards, data architects, and business stakeholders to deliver high-quality, governed enterprise data. The role requires willingness to support production MDM SaaS platforms and the data warehouse feeding MDM. When capacity permits, the candidate will also support GCP Data Engineering activities
Key Roles & Responsibilities
- Design and build Master Data Management (MDM) solutions using Informatica IDMC (SaaS).
- Create and manage data models for domains like Customer, Product, Supplier, and Employee.
- Configure Business 360 including UI, entities, and business rules.
- Develop and maintain match, merge, and survivorship rules to create accurate golden records.
- Build data integrations using Cloud Data Integration (CDI) and Cloud Application Integration (CAI).
- Develop and support REST APIs for real-time data exchange.
- Implement data quality, cleansing, and standardization rules using Cloud Data Quality (CDQ).
- Support data stewards in resolving data issues, merges, and exceptions.
- Monitor, troubleshoot, and optimize MDM SaaS platform performance.
- Support production MDM systems and the data warehouse feeding MDM.
- Collaborate with business and technical teams to deliver high-quality governed data.
- Willing to support GCP Data Engineering tasks when required (training provided).
Required Skills & Qualifications:
- Hands-on experience with Informatica IDMC (SaaS) including Business 360, Customer 360, or Product 360.
- Strong expertise in CDI, CAI, and CDQ.
- Solid understanding of relational and dimensional data modeling.
- Advanced SQL skills.
- Experience with REST/SOAP APIs, JSON, and XML.
- Familiarity with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse.
Experience & Education
- Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
Java
Spring Boot
React.js
Angular (2+)Job Description:
We are looking for a highly skilled Full Stack Developer with a strong background in Angular, Java, Angular, and Cloud Server to join our dynamic team. The ideal candidate will have 4-8 years of professional experience in developing, enhancing, and maintaining scalable web applications and enterprise solutions.
Key Responsibilities:
- Design, develop, and maintain high-quality, scalable, and secure web applications using Angular and Java.
- Work on front-end development using Angular to create responsive and user-friendly interfaces.
- Implement back-end functionalities using Java and Struts frameworks.
- Develop, manage, and optimize SQL Server databases.
- Collaborate with cross-functional teams, including product managers, designers, and QA engineers, to deliver robust solutions.
- Ensure code quality through code reviews, testing, and adherence to coding standards.
- Debug and resolve technical issues and performance bottlenecks.
- Stay updated with the latest technologies and contribute to improving the development processes.
Required Skills:
- Proficiency in Angular for front-end development.
- Strong experience with Java and Struts for back-end development.
- Expertise in working with cloud and SQL Server for database management.
- Familiarity with RESTful APIs and integrating front-end and back-end components.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.
Preferred Skills:
- Knowledge of Agile development methodologies.
- Experience with version control tools like Git.
- Familiarity with CI/CD pipelines and deployment strategies.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
If you are passionate about technology and thrive in a fast-paced environment, we’d love to hear from you!
Solution Architect – AZURE Data Engineering
Job Overview
We are looking for an experienced Solution Architect – Data Engineering with strong expertise in designing data solutions and hands-on experience with Azure, Synapse, PySpark, Data Warehousing, and Data Lakes. The ideal candidate should have strong architectural and data engineering knowledge.
Key Responsibilities
- Design and implement scalable data architecture and solutions.
- Develop and manage Data Warehouse and Data Lake architectures.
- Design data platforms using Medallion Architecture.
- Lead Data Engineering and ETL activities.
- Work with Azure Synapse Analytics for data processing and analytics.
- Develop data solutions using PySpark / Apache Spark.
- Define and implement data validation and data quality processes.
- Collaborate with business, data, and technology teams to deliver effective data solutions.
Required Skills
- Strong experience in Solution Architecture / Data Architecture.
- Strong knowledge of Data Warehouse and Data Lake architecture.
- Good understanding of Medallion Architecture.
- Strong experience in Data Engineering and ETL.
- Hands-on experience with Microsoft Azure and Azure Synapse Analytics.
- Strong knowledge of PySpark / Apache Spark.
- Experience with Data Validation and Data Quality.
- Good communication and stakeholder management skills.
Experience
8+ Years
We are looking for an experienced SAP Ariba Consultant with strong hands-on experience in Ariba implementation and Indirect Procurement.
Key Responsibilities
- Handle end-to-end SAP Ariba implementation and configuration.
- Work on Ariba Sourcing, Contracts, Buying, and Invoicing.
- Configure workflows, forms, templates, approval rules, and catalogs.
- Manage RFI, RFP, RFQ, and Auction processes.
- Configure requisition, PO, GR, and invoice processes.
- Handle SAP Ariba CIG integration with SAP S/4HANA.
- Support master data and transactional data integration.
- Work on external requisition imports and data mapping.
- Support testing, UAT, cutover, and hypercare.
- Troubleshoot configuration and integration issues.
- Coordinate with business users, IT teams, and vendors.
Required Skills
- 8+ years of SAP Ariba experience.
- Strong experience in Ariba Sourcing, Contracts, Buying, and Invoicing.
- Hands-on Ariba configuration and customization.
- Strong knowledge of SAP Ariba CIG.
- Experience with SAP S/4HANA integration.
- Knowledge of P2P processes.
- Experience with CXML, APIs, and data imports.
- Good communication and stakeholder management skills.
Good to Have
- Groovy scripting
- SAP P2P
- Tosca/testing tools
- Third-party integrations
- SAP S/4HANA Procurement
PythonExperience: 5+ Years
Employment Type: Full-Time
Role Overview
We are looking for an experienced GCP Data Engineer with 5+ years of experience in data engineering and strong hands-on expertise in Google BigQuery, Google Cloud Storage (GCS), Airflow/Cloud Composer, Python, and Vertex AI. The candidate should be capable of designing, developing, and maintaining scalable data pipelines and cloud-based data solutions on Google Cloud Platform.
Key Skills – Mandatory
- BigQuery – Strong hands-on experience in data warehousing, SQL, optimization, and performance tuning.
- Google Cloud Storage (GCS) – Experience with data storage, file management, and integration with data pipelines.
- Airflow / Cloud Composer – Experience in developing, scheduling, monitoring, and managing data workflows.
- Python – Strong programming skills for data engineering, ETL/ELT development, automation, and pipeline implementation.
- Vertex AI – Experience working with ML/AI workflows, model integration, or data pipelines supporting AI/ML solutions.
Good to Have / Added Advantage
- Dataproc – Experience with distributed data processing and Spark-based workloads.
- Cloud Data Fusion – Experience in building and managing data integration pipelines.
- Cloud Run – Understanding of deploying and running containerized applications/services on GCP.
- Experience with ETL/ELT processes and data pipeline development.
- Knowledge of GCP data architecture and cloud-native services.
- Experience in data quality, validation, monitoring, and troubleshooting.
Responsibilities
- Design, develop, and maintain scalable GCP-based data pipelines.
- Build and optimize data solutions using BigQuery and Cloud Storage.
- Develop and manage workflows using Airflow / Cloud Composer.
- Write efficient and reusable Python code for data processing and automation.
- Support Vertex AI integrations and AI/ML data workflows.
- Monitor pipeline performance and troubleshoot data processing issues.
- Work with cross-functional teams to understand data requirements and deliver reliable solutions.
- Implement best practices for data security, quality, scalability, and performance.
You must have :
- 5+ years of overall experience in Data Engineering.
- Strong hands-on experience with BigQuery, GCS, Airflow/Cloud Composer, Python, and Vertex AI.
- Strong understanding of data engineering concepts, ETL/ELT, data pipelines, and cloud technologies.
- Dataproc, Data Fusion, and Cloud Run experience will be an added advantage.
Position: AS/400 Developer
Experience: 6+ Years
Work Mode: Remote
Job Summary
We are looking for an experienced AS/400 Developer with strong hands-on experience in IBM i (AS/400) development. The ideal candidate should have solid expertise in RPG, CL, DDS, DB2/400, and SQL, along with experience in application development, maintenance, troubleshooting, and production support.
Key Responsibilities
* Design, develop, test, and maintain applications on the IBM i (AS/400) platform.
* Develop and maintain programs using RPG/ILE RPG, RPG IV, Free-Form RPG, CL, DDS, and SQL.
* Analyze business requirements and translate them into effective technical solutions.
* Develop, enhance, and maintain application programs, modules, and interfaces.
* Write efficient SQL queries and perform SQL/database performance tuning.
* Work with DB2/400, Query/400, and related IBM i database technologies.
* Troubleshoot, debug, and resolve application and production issues.
* Perform root-cause analysis and implement appropriate fixes.
* Integrate AS/400 applications with external systems using APIs, web services, flat files, and other interfaces.
* Participate in application enhancements, testing, deployment, and maintenance activities.
* Ensure code quality, performance, security, and adherence to development standards.
* Collaborate with functional teams and other technical teams to understand requirements and deliver solutions.
* Prepare and maintain technical documentation as required.
Required Skills
* 6+ years of hands-on experience in AS/400 / IBM i development.
* Strong expertise in RPG IV / ILE RPG / Free-Form RPG.
* Strong knowledge of CL/CLLE, DDS, DB2/400, and SQL.
* Experience with SQL queries, stored procedures, and performance tuning.
* Good understanding of IBM i architecture and application development.
* Experience in debugging and production support.
* Experience working with system interfaces, APIs, web services, and file handling.
* Knowledge of source/version control tools such as Git or SVN is an advantage.
* Strong analytical, problem-solving, and debugging skills.
* Good communication and teamwork skills.
Preferred Qualifications
* Experience working on enterprise-level AS/400 applications.
* Experience with application modernization or integration with modern technologies.
* Ability to work independently in a remote environment.
* Strong understanding of SDLC and software development best practices.
Work Mode
Remote Opportunity
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About Us
Incubyte is an AI-first software development agency built on the principles of software craftsmanship—where how we build is just as important as what we build. We partner with organizations across stages, from enterprises looking to scale and modernize to early-stage founders bringing new ideas to life.
At Incubyte, AI is deeply integrated across the software development lifecycle to drive speed, efficiency, and smarter outcomes. Guided by Software Craftsmanship values and Extreme Programming practices, we combine high velocity with disciplined engineering to deliver reliable, high-impact solutions.
We don’t just build software—we incubate dedicated engineering teams. From designing systems to shaping team structures and organizational strategy, we enable our clients to launch and scale products that are relevant today and resilient for the future.
Whether you’re scaling an existing product, building from scratch, or optimizing manual processes, we help you move faster with confidence:
- Scale and modernize your product
- Launch quickly and iterate continuously
- Automate processes for non-linear growth
- Build systems that are stable, predictable, and measurable
Our approach is rooted in ownership. As a DevOps-driven organization, our engineers take responsibility for the entire lifecycle—from development to release—ensuring quality at every step.
Founded by product professionals, we bring a strong product mindset into services. We’re driven by curiosity, continuous learning, and a passion for building great software the right way.
We’re always looking for people who care deeply about code, craftsmanship, and growth. Join us if you’re excited to build, learn, and make an impact.
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About Pendo
Pendo is a leading product experience and software analytics platform that helps companies understand how users interact with their software and improve those experiences. It operates in the product analytics and digital adoption space, enabling organizations to combine analytics, in-app guidance, and user feedback in one unified platform.
Pendo – Key Highlights
- Founded in 2013, headquartered in Raleigh, North Carolina
- Serves 14,000+ companies globally
- Processes 20B+ daily events and supports 1B+ users
- 850+ employees across global offices
- Raised $350M+ total funding from investors like General Atlantic, Tiger Global, and Sapphire Ventures
Chisel was acquired by Pendo in 2026, marking a key milestone in its journey. The acquisition strengthens Pendo’s push into AI-driven product experience, with Chisel’s agentic capabilities becoming a core part of Pendo’s broader platform vision.
Chisel Labs is an AI-powered product management platform built to help product teams move faster and make better decisions. It operates in the product management and AI SaaS space, bringing feedback, roadmapping, and documentation into a unified system of record.
At its core, Chisel functions as an AI PM Agent, automating workflows like PRDs, research, and feedback analysis - allowing teams to focus on strategy, prioritization, and product outcomes.
About Chisel
Chisel is a lean, globally distributed team with presence across the US and India. The team operates at the intersection of AI, product management, and enterprise SaaS, with a strong emphasis on ownership, speed, and building for real-world product teams at scale. Post-acquisition, the team is now part of Pendo’s broader organization.
🏆 Milestones
- Founded in the early 2020s as a next-gen product management platform
- Built one of the early AI-native PM agents for automating product workflows
- Grew adoption across global teams with integrations like Jira, Salesforce, and Zendesk
- Achieved strong product recognition across PM tooling ecosystems
- Acquired by Pendo (2026) to accelerate AI innovation in product experience
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