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22 Uniphore Software Systems Jobs
Senior Data Engineer
Uniphore Software Systems
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Uniphore is one of the largest B2B AI-native companies decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
Job Description:
Position Summary
Were seeking a highly skilled Sr. Data Engineer to join our team and play a
crucial role in delivering cutting-edge data-driven solutions.
The ideal candidate will possess a deep understanding of data engineering
principles, proficiency in Python, Scala good to have, Cloud technologies(AWS/
GCP/Azure), Databricks, SQL, ETL processes, and data warehousing.
You will collaborate closely with cross-functional teams including product
managers, software engineers, and data scientists to ensure the seamless
integration of machine learning capabilities into our solutions
Key Responsibilities
Data and Transformation :
Design and implement ETL pipelines to extract, transform, and load data from
various sources, including structured, unstructured, RAG
Ensure data integrity, quality, and security throughout the data lifecycle.
Design, develop, and optimize RAG (Retrieval-Augmented Generation) pipelines to
facilitate effective information retrieval and generation in conversational AI
systems
Collaborate with software engineers to integrate machine learning models into
production systems, ensuring scalability, reliability, and performance
Engineer will contribute in Conversational AI, you will play a pivotal role in
architecting, integrating, and deploying state-of-the-art models to power our
conversational AI product suite.
Software Engineering
Strong knowledge and hands-on experience of APIs, scripting, micro service
architecture and SQL.
Build, contribute to software development lifecycle (SDLC) methodologies and
promote best practices for backend and data engineering.
Participate in code reviews to ensure code quality, readability, and
maintainability.
Design and develop robust APIs and SDKs (if applicable) for seamless data
integration and access.
Demonstrate strong scripting skills (Python, Shell scripting, etc.) to automate
processes and workflows.
Data Warehousing And Architecture
Architect, Implement and maintain robust data warehouse solutions leveraging
cloud technologies.
Ensure data integrity, security, and scalability of the data infrastructure.
Collaborate with data scientists and analysts to design data models that support
business intelligence and advanced analytics.
Agile And Scrum Collaboration
Work within agile development methodologies, including Scrum, to deliver
iterative data solutions.
Participate regularly in sprint planning, daily standups, and retrospectives to
ensure project alignment and continuous improvement.
Qualifications
Bachelors degree/BE in computer science, Data Science, Engineering, or a
related field; masters degree preferred.
4+ years of hands-on experience as a Data Engineer, with a proven track record
of building and managing data pipelines and data warehouses.
Must-Have Skills
Advanced proficiency in Python for data manipulation and ETL development.
In-depth knowledge of cloud services, good to have Databricks
Extensive experience with Salesforce data structures and API integration.
Strong SQL skills and experience designing and optimizing relational databases.
Expertise in relational databases (MSSQL/MySQL/Postgres)
Strong understanding of data modeling, data warehousing, and data integration
concepts.
Experience with building and deploying machine learning models in production
environments.
Understanding of web services (REST, SOAP) and Internet architecture
principles .
Additional Attributes
Excellent problem-solving and analytical abilities.
Strong communication and interpersonal skills.
Self-driven, proactive, and adaptable to evolving project requirements.
Team-oriented mindset and ability to thrive in a collaborative environment.
Location preference:
For more information on how Uniphore uses AI to unify and humanize every enterprise experience, please visit www.uniphore.com.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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