Quantiphi
https://quantiphi.comAbout
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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NodeJS (Node.js)
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Bengaluru, Mumbai, and Trivandrum
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Jobs at Quantiphi
NodeJS (Node.js)PythonResponsible for developing, enhancing, modifying, and maintaining chatbot applications in the Global Markets environment. The role involves designing, coding, testing, debugging, and documenting conversational AI solutions, along with supporting activities aligned to the corporate systems architecture.
You will work closely with business partners to understand requirements, analyze data, and deliver optimal, market-ready conversational AI and automation solutions.
Key Responsibilities
- Design, develop, test, debug, and maintain chatbot and virtual agent applications
- Collaborate with business stakeholders to define and translate requirements into technical solutions
- Analyze large volumes of conversational data to improve chatbot accuracy and performance
- Develop automation workflows for data handling and refinement
- Train and optimize chatbots using historical chat logs and user-generated content
- Ensure solutions align with enterprise architecture and best practices
- Document solutions, workflows, and technical designs clearly
Required Skills
- Hands-on experience in developing virtual agents (chatbots/voicebots) and Natural Language Processing (NLP)
- Experience with one or more AI/NLP platforms such as:
- Dialogflow, Amazon Lex, Alexa, Rasa, LUIS, Kore.AI
- Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein, Converse.ai
- Strong programming knowledge in Python, JavaScript, or Node.js
- Experience training chatbots using historical conversations or large-scale text datasets
- Practical knowledge of:
- Formal syntax and semantics
- Corpus analysis
- Dialogue management
- Strong written communication skills
- Strong problem-solving ability and willingness to learn emerging technologies
Nice-to-Have Skills
- Understanding of conversational UI and voice-based processing (Text-to-Speech, Speech-to-Text)
- Experience building voice apps for Amazon Alexa or Google Home
- Experience with Test-Driven Development (TDD) and Agile methodologies
- Ability to design and implement end-to-end pipelines for AI-based conversational applications
- Experience in text mining, hypothesis generation, and historical data analysis
- Strong knowledge of regular expressions for data cleaning and preprocessing
- Understanding of API integrations, SSO, and token-based authentication
- Experience writing unit test cases as per project standards
- Knowledge of HTTP, REST APIs, sockets, and web services
- Ability to perform keyword and topic extraction from chat logs
- Experience training and tuning topic modeling algorithms such as LDA and NMF
- Understanding of classical Machine Learning algorithms and appropriate evaluation metrics
- Experience with NLP frameworks such as NLTK and spaCy
Amazon Web Services (AWS)We are hiring an Associate Technical Architect with strong expertise in AWS-based Data Platforms to design scalable data lakes, warehouses, and enterprise data pipelines while working with global teams.
Key Responsibilities
- Design and implement scalable data warehouse, data lake, and lakehouse architectures on AWS
- Build resilient and modular data pipelines using native AWS services
- Architect cloud-based data platforms and evaluate service trade-offs
- Optimize large-scale data processing and query performance
- Collaborate with global cross-functional teams (Engineering, QA, PMs, Stakeholders)
- Communicate technical roadmap, risks, and mitigation strategies
Must-Have Skills
- 8+ years of experience in AWS Data Engineering / Data Architecture
- Hands-on experience with AWS services:
- Amazon S3
- AWS Glue
- AWS Lambda
- Amazon EMR
- AWS Kinesis (Streams & Firehose)
- AWS Step Functions / MWAA
- Amazon Redshift (Spectrum & Serverless)
- Amazon Athena
- Amazon RDS
- AWS Lake Formation
- AWS DMS, EventBridge, SNS, SQS
- Strong programming skills in Python & PySpark
- Advanced SQL with query optimization & performance tuning
- Deep understanding of:
- MPP databases
- Partitioning & indexing strategies
- Data modeling (Dimensional, Normalized, Lakehouse)
- Experience building resilient ETL/data pipelines
- Knowledge of AWS fundamentals:
- Security
- Networking
- Disaster Recovery
- Scalability & resilience
- Experience with on-prem → AWS migrations
- AWS Certification (Solution Architect Associate / Data Engineer Associate)
Good-to-Have Skills
- Domain experience: FSI / Retail / CPG
- Data governance & virtualization tools:
- Collibra
- Denodo
- QuickSight / Power BI / Tableau
- Exposure to:
- Terraform (IaC)
- CI/CD pipelines
- SSIS
- Apache NiFi, Hive, HDFS, Sqoop
- Data Mesh architecture
- Experience with NoSQL databases:
- DynamoDB
- MongoDB
- DocumentDB
Soft Skills
- Strong problem-solving and analytical mindset
- Excellent communication and stakeholder management skills
- Ability to translate technical concepts into business outcomes
- Experience working with distributed/global teams
Amazon Web Services (AWS)As a Senior Data Engineer, you will be responsible for building and delivering a Lakehouse-based data pipeline. This is a hands-on role focused on implementing real-time and batch data ingestion, processing, and delivery workflows, while ensuring strong monitoring, observability, and data quality across the entire pipeline.
Must-Have Skills
- 3+ years of hands-on experience building large-scale data pipelines
- Strong experience with Spark Streaming, AWS Glue, and EMR for real-time and batch processing
- Proficiency in PySpark/Python, including building Kafka producers for data ingestion
- Experience working with Confluent Kafka and Spark Streaming for ingestion from on-premise sources
- Solid understanding of AWS services including:
- S3
- Redshift
- Glue
- CloudWatch
- Secrets Manager
- Experience working with Medallion Architecture and hybrid data destinations (e.g., Redshift + on-prem Oracle)
- Ability to implement monitoring dashboards and observability using tools like CloudWatch or Datadog
- Strong SQL skills for data validation and job-level metrics development
- Experience building alerting mechanisms for pipeline failures and performance issues
- Strong collaboration and communication skills
- Proven ownership mindset — driving deliverables from design to deployment
- Experience mentoring junior engineers, conducting code reviews, and guiding best practices
- AWS Certified Data Engineer – Associate (preferred/required)
Good-to-Have Skills
- Experience with orchestration tools such as Apache Airflow or AWS Step Functions
- Exposure to Big Data ecosystem tools:
- Sqoop
- HDFS
- Hive
- NiFi
- Exposure to Terraform for infrastructure automation
- Familiarity with CI/CD pipelines for data workflows
We are looking for a skilled Data Engineer / Data Warehouse Engineer to design, develop, and maintain scalable data pipelines and enterprise data warehouse solutions. The role involves close collaboration with business stakeholders and BI teams to deliver high-quality data for analytics and reporting.
Key Responsibilities
- Collaborate with business users and stakeholders to understand business processes and data requirements
- Design and implement dimensional data models, including fact and dimension tables
- Identify, design, and implement data transformation and cleansing logic
- Build and maintain scalable, reliable, and high-performance ETL/ELT pipelines
- Extract, transform, and load data from multiple source systems into the Enterprise Data Warehouse
- Develop conceptual, logical, and physical data models, including metadata, data lineage, and technical definitions
- Design, develop, and maintain ETL workflows and mappings using appropriate data load techniques
- Provide high-level design, research, and effort estimates for data integration initiatives
- Provide production support for ETL processes to ensure data availability and SLA adherence
- Analyze and resolve data pipeline and performance issues
- Partner with BI teams to design and develop reports and dashboards while ensuring data integrity and quality
- Translate business requirements into well-defined technical data specifications
- Work with data from ERP, CRM, HRIS, and other transactional systems for analytics and reporting
- Define and document BI usage through use cases, prototypes, testing, and deployment
- Support and enhance data governance and data quality processes
- Identify trends, patterns, anomalies, and data quality issues, and recommend improvements
- Train and support business users, IT analysts, and developers
- Lead and collaborate with teams spread across multiple locations
Required Skills & Qualifications
- Bachelor’s degree in Computer Science or a related field, or equivalent work experience
- 3+ years of experience in Data Warehousing, Data Engineering, or Data Integration
- Strong expertise in data warehousing concepts, tools, and best practices
- Excellent SQL skills
- Strong knowledge of relational databases such as SQL Server, PostgreSQL, and MySQL
- Hands-on experience with Google Cloud Platform (GCP) services, including:
- BigQuery
- Cloud SQL
- Cloud Composer (Airflow)
- Dataflow
- Dataproc
- Cloud Functions
- Google Cloud Storage (GCS)
- Experience with Informatica PowerExchange for Mainframe, Salesforce, and modern data sources
- Strong experience integrating data using APIs, XML, JSON, and similar formats
- In-depth understanding of OLAP, ETL frameworks, Data Warehousing, and Data Lakes
- Solid understanding of SDLC, Agile, and Scrum methodologies
- Strong problem-solving, multitasking, and organizational skills
- Experience handling large-scale datasets and database design
- Strong verbal and written communication skills
- Experience leading teams across multiple locations
Good to Have
- Experience with SSRS and SSIS
- Exposure to AWS and/or Azure cloud platforms
- Experience working with enterprise BI and analytics tools
Why Join Us
- Opportunity to work on large-scale, enterprise data platforms
- Exposure to modern cloud-native data engineering technologies
- Collaborative environment with strong stakeholder interaction
- Career growth and leadership opportunities
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
JavascriptCompany Profile
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Some company highlights:
- Quantiphi has seen 2.5x growth YoY since its inception in 2013.
- Winner of the "Machine Learning Partner of the Year" award from Google for two consecutive years - 2017 and 2018.
- Winner of the "Social Impact Partner of the Year" award from Google for 2019.
- Headquartered in Boston, with 700+ data science professionals across different offices.
For more details, visit: our http://www.quantiphi.com/">Website or our https://www.linkedin.com/company/quantiphi/">LinkedIn Page
Job Description
Role: Associate Tech Architect / Tech Architect – ReactJS +Python+AWS
Experience Level: 7-13 Years
Work location: Mumbai & Bangalore
We are looking for an experienced full stack developer( ReactJS and Python ) who can help create dynamic software applications for our clients with their skill set. In this role, you will be responsible for gathering requirements from clients and accordingly write and test scalable code, and develop front end and back-end components.
Technologies worked on:
ReactJS, Python, AWS
Requirement Description:
- Full Stack developer with experience in ReactJS, Python, API Gateway, Fargate and ECS
- Well-experienced in working with tools like Git, Maven, JFrog
- Should have a solid understanding of object-oriented programming (OOP)
- Well-experienced to perform Unit Testing and Integration Testing and have good experience in Agile based development approach
- Expertise in developing enterprise-level web applications and REST and SOAP APIs using MicroServices, with demonstrable production-scale experience
- Demonstrate strong design and programming skills using JSON, Web Services, XML, XSLT, PL/SQL in Unix and Windows environments
- Strong background working with Linux/UNIX environments and strong Shell scripting experience
- Working knowledge with SQL or No SQL databases
- Understand Architecture Requirements and ensure effective design, development, validation, and support activities
- Understanding of core AWS services, uses, and basic AWS architecture best practices
- Proficiency in developing, deploying, and debugging cloud-based applications using AWS
- Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
- Ability to identify key features of AWS services
- Identify bottlenecks and bugs, and recommend solutions by comparing the advantages and disadvantages of custom development
- Should contribute to team meetings, troubleshooting development and production problems across multiple environments and operating platforms
- Execute strong collaboration and communication skills within distributed project teams
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency
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