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Required Skill Set
Software Engineer/Senior Software Engineer/Lead Engineer-Java
· Experience in Core Java 5.0 and above, Angular, Data Structures, OOPS, Multithreading, Algorithms, Collections, Unix/Linux
· Possess good architectural knowledge and be aware of enterprise application design patterns.
· Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
· Good development experience with RDBMS
· Good knowledge of multi-threading and high volume server side development
Basic working knowledge of Unix/Linux
· Excellent problem solving and coding skills in Java
· Strong interpersonal, communication and analytical skills.
· Should have the ability to express their design ideas and thoughts.
Job Brief-
· Understand product requirements and come up with solution approaches
· Build and enhance large scale domain centric applications
· Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines
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Explain about the project or the brand to the customers.
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Job Title: Engineering Manager
Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
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.
At SpringML, we are all about empowering the ‘doers’ in companies to make smarter decisions
with their data. Our predictive analytics products and solutions apply machine learning to
today’s most pressing business problems so customers get insights they can trust to drive
business growth.
We are a tight-knit, friendly team of passionate and driven people who are dedicated to
learning, get excited to solve tough problems and like seeing results, fast. Our core values
include putting our customers first, empathy and transparency, and innovation. We are a
team with a focus on individual responsibility, rapid personal growth, and execution. If you
share similar traits, we want you on our team.
What’s the opportunity?
SpringML is looking for a Top-notch Salesforce Tableau CRM expert. You will play a critical role
in our client engagements using the Salesforce Analytics Cloud platform (Tableau CRM,Einstein Discovery).
You will design and implement highly customized solutions for our customer's business
problems, typically across multiple functions of a customer's organization through data
integration, visualization, and analysis.
Responsibilities:
Translate Business needs to technical specifications
Design and Deploy the Dataflows/Recipes as per the business requirements
Maintain/Support the existing Analytics platforms built using Tableau CRM
Conduct Unit testing and troubleshooting the issues
Create Visualizations using Native Built-in features/SAQL
Implement best security practices
Design the dashboards/Recipes using best practices
Develop/update the technical documentation
Required skills:
- Backend: Core Java, Spring Boot, Microservices, Hibernate/JPA, Data Structure and Algorithms, and Restful Web Services
- Front end : HTML, CSS, JavaScript, jQuery, Vue.JS, NuxtJS ,Vue-router, Vuex
- Database : MySQL
- Version Control Tool: Git
- Cloud Service: AWS
Job Description:
- Commercial experience using the Full stack Java Development
- Should be strong on basics of core Java - Basic Oops concepts, String, Collections, Exceptions, Interface, Inheritance
- Spring Family - Spring Boot, Spring Core
- Experience in creating Microservice using REST & Spring Boot
- Should be familiar with UI HTML, CSS, JavaScript, Vue.JS framework
- Hands-on experience on Oracle or SQL Server database
- Knowledgeable in AWS
- Agile Experience: Should be able to understand Scrum ceremonies and able to demonstrate experience in Agile
Your day-to-day tasks would involve:
- Building marketing programs to support specific marketing objectives across different channels and segments in support of the overall strategic marketing plan.
- Working with marketing agency partners to plan and execute digital app acquisition campaigns on channels like Google, Facebook and other digital platforms.
- Measuring and reporting performance of all digital marketing campaigns, and assessing against goals (ROI and KPIs).
- Leading the execution of marketing programs from start to finish, driving collaboration with the stakeholders and leveraging the right internal processes and team players.
- Making analytics and data-driven decisions to optimize acquisition & retention strategy (funnel improvement, In-app engagement, ROAS, LTV etc.).
- Providing complete performance reporting and analysis on all mobile marketing campaigns and taking relevant action on insights gained.
- Taking KRAs and brand objective ownership and commitment to meets goals and targets on a regular basis.
- Collaborating with the BD/ Sales teams to plan and execute various marketing initiatives such as events, SMS campaigns, sales training, partner collaboration etc.
- Working with cross-functional team (Product, Support, Sales) to establish growth strategies to support app growth and user acquisition targets.
What are we looking for in a Candidate?
- Experience in App Marketing in B2B domain is preferred.
- Minimum 4-7 years of professional experience in similar/relevant roles.
- Prior experience in performance marketing / digital marketing / growth role is a plus.
- Masters/MBA is preferred but not required.
- Familiarity with - Google Playstore/Console, Firebase/Branch/MixPanel, Appsflyer/TUNE etc.
- Proven track record of delivering user acquisition growth, retention, and optimization across key mobile metrics is a plus.
- Strong analytical skills: bias toward decision making based on data, and good proficiency with Excel and using it to configure, analyze, and present data.
- Ability to think and react in a high-energy, fast-paced environment.
- Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines.
- Working in high paced competitive stock trading environment with core web app development, scripting, data interpretation and manipulation skills
- Designing, creating and maintaining our in-house software for business requirements
- Work on innovative ideas to improve the user experience of our internal systems and applications which are used by the trading teams
- Improve on existing tools to make trade monitoring systems robust and more reliable
Ideal candidate should have:
- Engineering degree in Computer Science (preferred) or any other discipline
- Experience on Python web app development (Preferably Django)
- Ability to work as a full stack developer
- Experience in Shell/Perl or Python scripting
- Prior experience of Linux or Unix based operating systems
- Ability to create automation scripts
- Experience/Knowledge of financial industry
- Ability to work in fast paced environment under pressure and manage multiple high priority projects
- Willingness to learn and work on new technologies
- Excellent communication skills








