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Join our team
We're looking for an experienced and passionate Data Engineer to join our team. Our vision is to empower Genesys to leverage data to drive better customer and business outcomes. Our batch and streaming solutions turn vast amounts of data into useful insights. If you’re interested in working with the latest big data technologies, using industry leading BI analytics and visualization tools, and bringing the power of data to our customers’ fingertips then this position is for you!
Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics.
What you'll get to do
- Work in an agile development environment, constantly shipping and iterating.
- Develop high quality batch and streaming big data pipelines.
- Interface with our Data Consumers, gathering requirements, and delivering complete data solutions.
- Own the design, development, and maintenance of datasets that drive key business decisions.
- Support, monitor and maintain the data models
- Adopt and define the standards and best practices in data engineering including data integrity, performance optimization, validation, reliability, and documentation.
- Keep up-to-date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using cloud services.
- Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
Your experience should include
- Bachelor’s degree in CS or related technical field.
- 5+ years of experience in data modelling, data development, and data warehousing.
- Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
- Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
- Experience in programming using Python, Java or Scala.
- Experience with data orchestration tools (Airflow, Oozie, Step Functions).
- Solid understanding of database technologies including NoSQL and SQL.
- Strong in SQL queries (experience with Snowflake Cloud Datawarehouse is a plus)
- Work experience in Talend is a plus
- Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
- Strong organizational and multitasking skills with ability to balance competing priorities.
- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
- An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.
Good to have
- Experience with AWS big data technologies - S3, EMR, Kinesis, Redshift, Glue
Roles and Responsibilities:
- AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
- Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
- Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
- Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
- Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
- Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements.
Mandatory Skills:
- Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
- Strong proficiency in automated provisioning and cloud management.
- Experience with Infrastructure as Code tools, particularly Terraform and Packer.
- Solid understanding of CI/CD pipelines and version control systems.
- Strong scripting skills (e.g., Python, Bash) for automation tasks.
- Excellent problem-solving and troubleshooting skills.
- Good interpersonal and communication skills for effective collaboration.
Secondary Skills:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of microservices architecture and serverless computing.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).
CoinFantasy is looking for an experienced Senior AI Architect to lead both the decentralised protocol development and the design of AI-driven applications on this network. As a visionary in AI and distributed computing, you will play a central role in shaping the protocol’s technical direction, enabling efficient task distribution, and scaling AI use cases across a heterogeneous, decentralised infrastructure.
Job Responsibilities
- Architect and oversee the protocol’s development, focusing on dynamic node orchestration, layer-wise model sharding, and secure, P2P network communication.
- Drive the end-to-end creation of AI applications, ensuring they are optimised for decentralised deployment and include use cases with autonomous agent workflows.
- Architect AI systems capable of running on decentralised networks, ensuring they balance speed, scalability, and resource usage.
- Design data pipelines and governance strategies for securely handling large-scale, decentralised datasets.
- Implement and refine strategies for swarm intelligence-based task distribution and resource allocation across nodes. Identify and incorporate trends in decentralised AI, such as federated learning and swarm intelligence, relevant to various industry applications.
- Lead cross-functional teams in delivering full-precision computing and building a secure, robust decentralised network.
- Represent the organisation’s technical direction, serving as the face of the company at industry events and client meetings.
Requirements
- Bachelor’s/Master’s/Ph.D. in Computer Science, AI, or related field.
- 12+ years of experience in AI/ML, with a track record of building distributed systems and AI solutions at scale.
- Strong proficiency in Python, Golang, and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in decentralised architecture, P2P networking, and heterogeneous computing environments.
- Excellent leadership skills, with experience in cross-functional team management and strategic decision-making.
- Strong communication skills, adept at presenting complex technical solutions to diverse audiences.
About Us
CoinFantasy is a Play to Invest platform that brings the world of investment to users through engaging games. With multiple categories of games, it aims to make investing fun, intuitive, and enjoyable for users. It features a sandbox environment in which users are exposed to the end-to-end investment journey without risking financial losses.
Building on this foundation, we are now developing a groundbreaking decentralised protocol that will transform the AI landscape.
Website:
Benefits
- Competitive Salary
- An opportunity to be part of the Core team in a fast-growing company
- A fulfilling, challenging and flexible work experience
- Practically unlimited professional and career growth opportunities
• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education
WPF, C#.Net, windows based applications.
Experience TFS file compare via code.
Experience with .tt files for auto-code generation.
Job Description:
The primary responsibility of a software engineer is to produce high quality code using C#.NET and be part of an agile development team, using SCRUM methods. The responsiblities could include Tools Development for process improvement, or some tool related to the Product Code Development.
Responsibilities
•Contribute to the implementation of User Stories
•Participate in SCRUM process, be agile
•Fulfill the acceptance criteria with the contributed code (quality,
unit tests, metrics, etc.)
•Adherence to architecture, design and qualityguidelines
•Maintenance, problem analysis and bug fixing within the product
•Technical clarifications with other team members
Job Summary
Condé Nast is looking for a talented Software Quality Assurance Manager. In this role you will
be part of an IT organization and to provide direction and leadership on all quality matters
across the platform or domain. This is an opportunity to act as a key contributor in making sure
that work packages transition seamlessly from development into live environments Hone your
knowledge of quality best practices and collaboration and stakeholder management skills
Objectives of the Role
● Lead a global team of QE engineers who are responsible for ensuring E2E(end to end) quality
of our products
● Provide high direction for test teams delivering a clear and consistent vision
● Develop a roadmap for building needed test expertise. Establish and evolve formal QA
processes
● Define quality and automation KPI goals for the team and drive success towards achieving
them.
● To recommend, implement, and monitor preventative and corrective actions to ensure that
quality assurance standards are achieved
● Participate in brainstorming sessions and cross-departmental meetings to ensure collaborating
and cohesion
● Oversee all aspects of quality assurance including establishing metrics, implementing best
practices, and developing new tools and processes to ensure quality goals are met
● Act as a key point of contact for all QA aspects of releases, providing QA services and
coordinating QA resources internally and externally
● Review test strategies and test plans and ensure coverage for functional, performance and
scalability aspects are covered and tested
● Working cross functionally with Product and Engineering to ensure smooth delivery of product
that are on time, feature rich and with high quality
● Present QA status of testing with state-of-the-art dashboards and highlight key blockers and
where help is needed
● Ensure automated scripts are produced for E2E testing scenarios, including performance and
scale testing
● Review user found defects and continue to enhance and improve testing methodology and fill
gaps in testing as needed
● Communicate product status, key issues, and insights to key constituents across the
organization, including the executive team.
● Develop process for manual and automated testing strategy for business applications, web
applications and BI solutions.
● Experience in establishing testing strategy for dealing with quarterly releases by business
applications
Required Skills
● 12 + years’ experience in Product Quality testing role and 2-3 yrs in Management position
● Seasoned QA Manager with track record of delivering high quality products in a fast paced
environment
● Must have prior experience in building QA / Data Validation framework in bigdata for various
BU's
● Experience in "closing the loop" and "continuous improvement" of QA strategies based on
learnings from field issues
● Experience in business applications, web application, Business Intelligence applications
● Hands-on QA experience including testing automation. Deep knowledge of automation best
practices and industry trends.
● Good to have knowledge on One or more Test automation tools like xUnit , Selenium, Jmeter ,
Ranorex etc.
● Experience in automation testing using Selenium Webdriver, Testing Frameworks like TestNG
and NUnit.
● Strong proficiency in SQL coding (T-SQL or PL-SQL)
● Familiarity with data warehousing practices, ETL processing and denormalized data structures.
● Background in programming and testing across platforms is a plus
● Proficient with Bigdata concepts and/or tools is a plus (Hadoop, Hive, Spark).
● Strong analytical and reasoning skills
● Strong verbal, written communication skills and strong interpersonal skills.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Experience: 2-8 years
Skills
* Hands-on development skills in Java8 features like Streams, Lambda expressions, Enhanced for loops, Parallel processings, etc.
* Hands-on development skills in Springboot, Microservices & JPA/Hibernate.
* Experience in designing, analyzing and troubleshooting large-scale distributed systems.
* Experience in any Java based rule engine implementation for workflows.
* Experience in Dockers, ElasticSearch, Messaging and any RDBMS.
* Experience with Swagger, Git, Jenkins & Maven.
* Experience with any of Nosql databases.
· 10+ years of Information Technology experience, preferably with Telecom / wireless service providers. · Experience in designing data solution following Agile practices (SAFe methodology); designing for testability, deployability and releaseability; rapid prototyping, data modeling, and decentralized innovation
· To be able to demonstrate an understanding and ideally use of, at least one recognised architecture framework or standard e.g. TOGAF, Zachman Architecture Framework etc · The ability to apply data, research, and professional judgment and experience to ensure our products are making the biggest difference to consumers · Demonstrated ability to work collaboratively · Excellent written, verbal and social skills - You will be interacting with all types of people (user experience designers, developers, managers, marketers, etc.) · Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision · Technologies: .NET, AWS, Azure; Azure Synapse, Nifi, RDS, Apache Kafka, Azure Data bricks, Azure datalake storage, Power BI, Reporting Analytics, QlickView, SQL on-prem Datawarehouse; BSS, OSS & Enterprise Support Systems |

