About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business Experience- 5- 9 YearsLocation- ChennaiResponsibilities- Client Requirement Analysis: Gather and analyze client-specific requirements and map them to the product features.- Customization & Configuration: Work with product and technical teams to configure and customize the product to meet client needs.- Implementation Planning: Develop and manage implementation timelines, ensuring alignment with client and internal stakeholders.- Documentation: Create and maintain comprehensive documentation including use cases, requirement specifications, and process flows.- Stakeholder Communication: Act as the main point of contact between the client and internal teams, ensuring clear communication and alignment on project goals.- Training & Support: Develop training materials and conduct training sessions for client teams. Provide ongoing support during the implementation phase.- Testing & Validation: Coordinate user acceptance testing (UAT) and ensure the product meets client expectations.- Post-Implementation Support: Provide support during the go-live phase and handle any issues or changes required post-implementation." Qualifications"- Product Knowledge: In-depth understanding of the company’s product and its features.- Technical Skills: Familiarity with product configuration, basic scripting, and database management (SQL).- Analytical Skills: Strong problem-solving abilities, particularly in adapting the product to meet specific client needs.- Communication Skills: Excellent verbal and written communication skills for effectively liaising with clients and internal teams.- Project Management: Ability to manage project timelines, resources, and risks.- Educational Background: Bachelor’s degree in Business Administration, Computer Science, or related field. Certifications in business analysis or project management are a plus.- Industry Knowledge: Understanding of the industry in which the product is used, which helps in aligning the product features with industry-specific needs.- Proficiency in business analysis tools such as Microsoft Excel, Visio, and PowerPoint.- Experience with project management tools like JIRA, Trello, or Microsoft Project."

Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies. Place : ChennaiExperience : 8-12 YearsNo of openings : 1 Skills : Python, AI/ML Models, Analytics Tasks Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies. Place : ChennaiExperience : 8-12 YearsNo of openings : 1 Skills : Python, AI/ML Models, Analytics Requirements Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies. Place : ChennaiExperience : 8-12 YearsNo of openings : 1 Skills : Python, AI/ML Models, Analytics Show more Show less

Develop and maintain dynamic, full-stack applications using JavaScript, Angular, and Node.js. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions from front-end to back-end. Tasks Develop and maintain dynamic, full-stack applications using JavaScript, Angular, and Node.js. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions from front-end to back-end. Place : ChennaiExperience : 5+ YearsNo of openings : 2 Skills : JS, Angular, Node Requirements Develop and maintain dynamic, full-stack applications using JavaScript, Angular, and Node.js. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions from front-end to back-end. Place : ChennaiExperience : 5+ YearsNo of openings : 2 Skills : JS, Angular, Node Show more Show less

We are looking for a 3–7-year experienced Middleware / Interface developer. Work mode: Hybrid Office location: Chennai Responsibilities: • Develop and maintain system interfaces and APIs. • Ensure seamless integration between software applications. • Work with RESTful and SOAP APIs for data exchange. • Optimize data transmission processes for performance and reliability. • Troubleshoot and resolve interface issues. Required Skills: • Proficiency in API development (REST, SOAP, GraphQL). • Strong experience in Java, Python, .NET, or Node.js. • Hands-on experience with integration platforms (MuleSoft, Boomi, Talend, etc.). Show more Show less

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Our ecosystem empowers rapid execution with plug-and-play tools, enabling scalable, AI-powered strategies that fast-track your digital transformation. With a focus on automation and seamless integration, we help you stay ahead—letting you focus on your core, while we accelerate your growth Responsibilities & Qualifications "• Develop data migration strategies and plans. • Perform ETL operations and data transformation. • Work with cross-functional teams to ensure data consistency and integrity. • Identify and resolve data quality issues. • Document migration processes and best practices. Required Skills: • Expertise in SQL, ETL tools (Informatica, Talend, SSIS, etc.). • Experience in handling large-scale data migrations. • Familiarity with cloud data platforms (AWS, Azure, GCP). Show more Show less

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Our ecosystem empowers rapid execution with plug-and-play tools, enabling scalable, AI-powered strategies that fast-track your digital transformation. With a focus on automation and seamless integration, we help you stay ahead—letting you focus on your core, while we accelerate your growth. Experience- 3- 7 years Responsibilities Content Creation: Develop, write, and maintain high-quality documentation, including user guides, API documentation, FAQs, and knowledge base articles for SaaS, Cloud, and AI/ML platforms. Technical Understanding: Demonstrate strong knowledge of SaaS architecture, cloud technologies (AWS, Azure, GCP), and AI/ML concepts, including model training, deployment, and integration. Collaboration: Work closely with cross-functional teams, including developers, product managers, and data scientists, to gather technical information and transform it into user-friendly content. API Documentation: Write and edit API documentation with a focus on RESTful APIs, SDKs, and integration workflows to guide developers effectively. Version Control and Tools: Utilize tools like Git, Markdown, and documentation platforms like Confluence, ReadTheDocs, or similar to maintain version-controlled and up-to-date content. Editing and Review: Proofread and edit technical content to ensure clarity, consistency, and adherence to style guides, including those for international audiences. User-Centric Writing: Develop content tailored to various user personas, including technical developers, business users, and system administrators. Learning and Development: Stay updated on the latest SaaS, Cloud, and AI/ML trends to incorporate relevant, cutting-edge insights into documentation. Graphic Representation: Create visual aids, such as diagrams, flowcharts, and illustrations, to simplify complex concepts and enhance user comprehension. SEO and Accessibility: Optimize content for search engines and ensure compliance with accessibility standards like WCAG to enhance usability and reach. Qualifications 1. Good verbal and written communication skills. 2. Good Research skills and ability to articulate that knowledge in the writing. 3. A good knowledge on features and components of business applications like CMS, CRM, OMS etc., 4. At Least for the prop-shop requirements, we need someone who has experience in writing for sales deals. 5. The same industry experience is preferable. Show more Show less

We at ParticleBlack are looking for a 7+ years of experience in IT with at least 4 years in an Integration lead role. WHO WE NEED: Understanding of cloud platforms (AWS) and hybrid integration patterns Proficiency in designing and implementing RESTFUL API's, SOAP and Web Services and messaging queues Certifications in integration platforms Lead the design , development and implementation of integration solutions using API's , Middleware Provide Technical support to the team of integration developers Ensure Integration solutions align with security, scalability and compliance requirements Develop and Maintain documentation for integration architecture, interfaces and data flows Evaluate and recommend tools and technologies that support integration objectives. Experience and Expertise in Ws02 In addition to Developer skills above Experience in Batch process, experience in diff backend programming languages. Full stack developer background with AWS Cloud engineer, AWS services. SQL intermediate to advanced & network security basics Nice to have: Network infrastructure background Network security advanced. Bachelor's degree in computer science, information systems or related fields. Show more Show less

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Our ecosystem empowers rapid execution with plug-and-play tools, enabling scalable, AI-powered strategies that fast-track your digital transformation. With a focus on automation and seamless integration, we help you stay ahead—letting you focus on your core, while we accelerate your growth Responsibilities & Qualifications Data Architecture Design: Develop and implement scalable and efficient data architectures for batch and real-time data processing.Design and optimize data lakes, warehouses, and marts to support analytical and operational use cases. ETL/ELT Pipelines: Build and maintain robust ETL/ELT pipelines to extract, transform, and load data from diverse sources.Ensure pipelines are highly performant, secure, and resilient to handle large volumes of structured and semi-structured data. Data Quality and Governance: Establish data quality checks, monitoring systems, and governance practices to ensure the integrity, consistency, and security of data assets. Implement data cataloging and lineage tracking for enterprise-wide data transparency. Collaboration with Teams:Work closely with data scientists and analysts to provide accessible, well-structured datasets for model development and reporting. Partner with software engineering teams to integrate data pipelines into applications and services. Cloud Data Solutions: Architect and deploy cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, leveraging services such as S3, BigQuery, Redshift, or Snowflake. Optimize cloud infrastructure costs while maintaining high performance. Data Automation and Workflow Orchestration: Utilize tools like Apache Airflow, n8n, or similar platforms to automate workflows and schedule recurring data jobs. Develop monitoring systems to proactively detect and resolve pipeline failures. Innovation and Leadership: Research and implement emerging data technologies and methodologies to improve team productivity and system efficiency. Mentor junior engineers, fostering a culture of excellence and innovation.| Required Skills:  Experience: 7+ years of overall experience in data engineering roles, with at least 2+ years in a leadership capacity. Proven expertise in designing and deploying large-scale data systems and pipelines. Technical Skills: Proficiency in Python, Java, or Scala for data engineering tasks. Strong SQL skills for querying and optimizing large datasets. Experience with data processing frameworks like Apache Spark, Beam, or Flink. Hands-on experience with ETL tools like Apache NiFi, dbt, or Talend. Experience in pub sub and stream processing using Kafka/Kinesis or the like Cloud Platforms: Expertise in one or more cloud platforms (AWS, Azure, GCP) with a focus on data-related services. Data Modeling: Strong understanding of data modeling techniques (dimensional modeling, star/snowflake schemas). Collaboration: Proven ability to work with cross-functional teams and translate business requirements into technical solutions. Preferred Skills: Familiarity with data visualization tools like Tableau or Power BI to support reporting teams. Knowledge of MLOps pipelines and collaboration with data scientists. Show more Show less

We are looking for Senior Data Migration Specialist with 7+ years of experience in similar role. Roles and responsibilities : • Develop data migration strategies and plans. • Perform ETL operations and data transformation. • Work with cross-functional teams to ensure data consistency and integrity. • Identify and resolve data quality issues. • Document migration processes and best practices. Required Skills: • Expertise in SQL, ETL tools (Informatica, Talend, SSIS, etc.). • Experience in handling large-scale data migrations. • Familiarity with cloud data platforms (AWS, Azure, GCP). Show more Show less

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Our ecosystem empowers rapid execution with plug-and-play tools, enabling scalable, AI-powered strategies that fast-track your digital transformation. With a focus on automation and seamless integration, we help you stay ahead—letting you focus on your core, while we accelerate your growth. Qualifications: Experience 10+ years of experience as a Business Architect, Senior Business Analyst, or Product Manager in large-scale software or SaaS implementations for US Commercial Healthcare, HHS or government-led programs. Hands-on experience in one or more HHS program areas: Child Welfare, Foster Care Licensing, Child Support, Medicaid/Medicare, Integrated Eligibility, Juvenile Justice, Education, or similar. Skills Deep knowledge of business architecture principles (like TOGAF, BIZBOK) and modeling practices. Strong experience with business process modeling, capability mapping, impact analysis, and change management. Familiarity with agile delivery frameworks, epics/user stories, and product lifecycle stages. Strong analytical, problem-solving, and facilitation skills; adept at managing competing stakeholder priorities. Tools Proficiency in tools such as Jira, Confluence, Miro, Productboard, Lucidchart/Visio, and architecture tools. Education Bachelor’s in technical fields including engineering and/or Masters degree in Business Administration, Information Systems, Public Policy, or related field. Certifications in Business Architecture (e.g., BIZBOK, TOGAF) preferred. Preferred Qualifications: Experience delivering cloud-native SaaS solutions for U.S. Commercial Health Care or U.S. government agencies. Exposure to data standards such as NIEM, HIPAA EDI X12, HL7, or FHIR, and federal/state reporting requirements. Familiarity with privacy, security, and compliance protocols (HIPAA, FERPA, CJIS). Understanding of how to integrate third-party systems via APIs, ESB, and data exchanges. Show more Show less

Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies. Place : ChennaiExperience : 8-12 YearsNo of openings : 1 Skills : Python, AI/ML Models, Analytics Tasks Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies. Place : ChennaiExperience : 8-12 YearsNo of openings : 1 Skills : Python, AI/ML Models, Analytics Requirements Analyze complex data sets and develop AI/ML models using Python to drive actionable insights and predictive analytics. Apply statistical techniques and machine learning algorithms to solve business problems and optimize data-driven strategies. Place : ChennaiExperience : 8-12 YearsNo of openings : 1 Skills : Python, AI/ML Models, Analytics Show more Show less

Develop and maintain dynamic, full-stack applications using JavaScript, Angular, and Node.js. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions from front-end to back-end. Tasks Develop and maintain dynamic, full-stack applications using JavaScript, Angular, and Node.js. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions from front-end to back-end. Place : ChennaiExperience : 5+ YearsNo of openings : 2 Skills : JS, Angular, Node Requirements Develop and maintain dynamic, full-stack applications using JavaScript, Angular, and Node.js. Collaborate with cross-functional teams to deliver high-quality, scalable software solutions from front-end to back-end. Place : ChennaiExperience : 5+ YearsNo of openings : 2 Skills : JS, Angular, Node Show more Show less

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Our ecosystem empowers rapid execution with plug-and-play tools, enabling scalable, AI-powered strategies that fast-track your digital transformation. With a focus on automation and seamless integration, we help you stay ahead—letting you focus on your core, while we accelerate your growth Responsibilities & Qualifications Data Architecture Design: Develop and implement scalable and efficient data architectures for batch and real-time data processing.Design and optimize data lakes, warehouses, and marts to support analytical and operational use cases. ETL/ELT Pipelines: Build and maintain robust ETL/ELT pipelines to extract, transform, and load data from diverse sources.Ensure pipelines are highly performant, secure, and resilient to handle large volumes of structured and semi-structured data. Data Quality and Governance: Establish data quality checks, monitoring systems, and governance practices to ensure the integrity, consistency, and security of data assets. Implement data cataloging and lineage tracking for enterprise-wide data transparency. Collaboration with Teams:Work closely with data scientists and analysts to provide accessible, well-structured datasets for model development and reporting. Partner with software engineering teams to integrate data pipelines into applications and services. Cloud Data Solutions: Architect and deploy cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, leveraging services such as S3, BigQuery, Redshift, or Snowflake. Optimize cloud infrastructure costs while maintaining high performance. Data Automation and Workflow Orchestration: Utilize tools like Apache Airflow, n8n, or similar platforms to automate workflows and schedule recurring data jobs. Develop monitoring systems to proactively detect and resolve pipeline failures. Innovation and Leadership: Research and implement emerging data technologies and methodologies to improve team productivity and system efficiency. Mentor junior engineers, fostering a culture of excellence and innovation.| Required Skills: Experience: 7+ years of overall experience in data engineering roles, with at least 2+ years in a leadership capacity. Proven expertise in designing and deploying large-scale data systems and pipelines. Technical Skills: Proficiency in Python, Java, or Scala for data engineering tasks. Strong SQL skills for querying and optimizing large datasets. Experience with data processing frameworks like Apache Spark, Beam, or Flink. Hands-on experience with ETL tools like Apache NiFi, dbt, or Talend. Experience in pub sub and stream processing using Kafka/Kinesis or the like Cloud Platforms: Expertise in one or more cloud platforms (AWS, Azure, GCP) with a focus on data-related services. Data Modeling: Strong understanding of data modeling techniques (dimensional modeling, star/snowflake schemas). Collaboration: Proven ability to work with cross-functional teams and translate business requirements into technical solutions. Preferred Skills: Familiarity with data visualization tools like Tableau or Power BI to support reporting teams. Knowledge of MLOps pipelines and collaboration with data scientists. Show more Show less