
JD for Performance Marketing
- As the Performance Marketing Manager, you will manage high quality acquisition programs, campaigns, and activities across the mobile games.
- Additionally, ensure that projects within the marketing department are delivered in a timely manner and that they are always in line with the business's guidelines, quality standards, and objectives
Roles & Responsibilities:
- Define, identify, launch and drive critical strategic media campaigns for customer acquisition, engagement and retention
- Lead efforts on sophisticated quantitative analysis and translate data into actionable insights. Be willing and able to adjust marketing spend on the fly for best results.
- Lead KPI development and tracking across all performance marketing related functions, measuring campaign and digital spend performance across all channels
- Constantly tracking metrics like funnel conversion rates, bounce and exit rates and identifying reasons for the same - contributing valuable insights to product - Evaluating customer research, market conditions and competitor data
- Improving the usability, design, content and landing page effectiveness
- Stay up-to-date on latest developments in the Global digital media industry and experiment with new creative ideas.
- Must be proactive, resourceful, and demonstrate intellectual curiosity to anticipate business needs.
What we are looking for:
- We love if you have the hunger to learn, passion to perform and carry the following skills:
- Experience of managing tech businesses - SEO, Social media, affiliate/mobile, email/SMS marketing (including build and design) and agency handling
- Strong track record of building organic and social traffic through high quality content
- Strong operations experience in managing teams and delivering on targets set
- Excellent understanding of analytics tools including Google analytics, Heap, KISS metrics, Flurry, AWR Cloud, Buzz Sumo and Web Trends

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Job Summary
Condé Nast is seeking an experienced and highly motivated Software engineer-ML who will support
productionizing projects in a databricks environment for the data science team. We expect the person
to be a software/data engineer experienced in building robust ML systems & deploying ML pipelines
in production, Study and transform data science prototypes into an engineering product and is
knowledgeable about machine learning models.
**This role is NOT for building Machine Learning models **
Primary Responsibilities
● Operationalize ML models into production environment(s) by building data
pipelines ● Designing and developing Machine Learning Systems
● Keep abreast of developments in the field
● Come up with engineering ideas to resolve problems faced with respect to ML pipeline ●
Design and code highly scalable, machine learning frameworks processing large volumes of data
● Engineer a near-real-time system that can process massive amounts of data efficiently ●
Collaborate with other Machine Learning Engineers and Data Scientists in architecting &
engineering the solution
● Participate in the entire development lifecycle, from concept to release
● Participate in all phases of quality assurance and defect resolution
Desired Skills & Qualifications
● 5+ years software development experience with highly scalable systems involving
machine learning and big data
● Understanding of data structures, data modeling and software architecture
● Strong software development skills with proficiency in Python/Pyspark
● Experience with Big Data technologies such as Spark, Hadoop
● Familiarity with machine learning frameworks and libraries would be a good-to-have
skill ● Excellent communication skills
● Ability to work in a team
● Outstanding analytical and problem-solving skills
● Applicants should have a Undergraduate/Postgraduate degree in Computer Science or a
related discipline
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing history. With a
portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and Bon Appétit, we at Condé Nast
aim to tell powerful, compelling stories of communities, culture and the contemporary world. Our
operations are headquartered in New York and London, with colleagues and collaborators in 32 markets
across the world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin
America.
Condé Nast has been raising the industry standards and setting records for excellence in the publishing
space. Today, our brands reach over 1 billion people in print, online, video, and social media.
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.


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- Back-end software development
- Software engineering and designing data models and write effective APIs
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- 4+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
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- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good with Humor and Team player

- Experience building user interfaces for websites and/or web applications
- Extremely fluent with HTML5/XHTML and CSS
- Experience working with PHP, JavaScript, and jQuery
- Ability to write JavaScript with and without the use of frameworks such as jQuery
- Experience designing and developing responsive design websites
- Comfortable working with debugging tools like Firebug, Chrome inspector, etc.
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- Experience developing web solutions in Drupal and PHP implementations in a LAMP environment
- Ability to architect enterprise Drupal solutions including data, display, and information architecture
- Advanced site-building experience including deep familiarity with Drupal modules such as CTools, Views, and Panels
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Kamatan is disrupting the decades-old existing supply chain from farmers to businesses that consist of many middlemen and is mired with many inefficiencies on both demand and supply side. Kamatan has endeavored to solve this problem by building an efficient supply chain that eliminates middlemen, reduces wastage, and passes on the gains on either side of the supply chain.
In the last 2+ years, Kamatan has sourced from 34 locations across 8 states of India and delivered to 48 locations across 14 states, underscoring the strength of its nationwide network.
Kamatan was founded by IIT and IIM graduates with more than 16+ yrs of industry experience each at companies like Redbus, Myntra, TaxiForSure, and Hindustan Lever. Headed by an ex-IAS officer with 35 years of service, the team is passionate about delivering an awesome experience to customers by leveraging technology as the key differentiator.
Kamatan is a Series-B funded startup backed by Elevar Equity, Global Innovation Fund (UK), and Samunnati Agro Solutions. Kamatan was covered by Economic Times, Business Standard, and CIO Insider. It was listed as a Top 100 Startups to watch in 2020.
**THE TEAM**
Kamatan is expanding the initial team, to further build the technology platform.
The platform consists of multiple subsystems built for different stakeholders in the ecosystem: Farmers, FPOs, Suppliers. Scalable distributed server infra is built on LAMP and MEAN stack using Service Oriented Architecture (SOA) principles, to support the performance and scalability needs of a fast-growing business.
If you're excited to solve problems like commodity price forecasting, unstructured data management, demand and supply prediction algorithms using cutting-edge technology, this is the place you should be at!
We're looking for passionate and highly motivated individuals who are open to learning and innovation and those who want to make a difference by solving real-world problems of 'Bharat', rural India.
**JOB ROLE AND RESPONSIBILITIES**
● Prepare test data by using XML/Excel
● Perform in Functional Testing, Regression Testing and Ad - Hoc Testing
● Identify, confirm, report, and manage defects through resolution.
JOB REQUIREMENTS
● Min 2 Yrs. of Experience in the Software Testing:
● Strong knowledge of Postman or alike tools and web developer tools is a must.
● Excellent in test case design, writing test cases, and execution
● Experience in manual testing and system analysis
● Good understanding of Defect Reporting, Sanity, Regression, Integration System Testing
● Good hands-on testing concepts, testing life cycle and bug life cycle
job Description
Problem Formulation: Identifies possible options to address the business problems and must possess good understanding of dimension modelling
Must have worked on at least one end to end project using any Cloud Datawarehouse (Azure Synapses, AWS Redshift, Google Big query)
Good to have an understand of POWER BI and integration with any Cloud services like Azure or GCP
Experience of working with SQL Server, SSIS(Preferred)
Applied Business Acumen: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes. Solves business issues.
Data Transformation/Integration/Optimization:
The ETL developer is responsible for designing and creating the Data warehouse and all related data extraction, transformation and load of data function in the company
The developer should provide the oversight and planning of data models, database structural design and deployment and work closely with the data architect and Business analyst
Duties include working in a cross functional software development teams (Business analyst, Testers, Developers) following agile ceremonies and development practices.
The developer plays a key role in contributing to the design, evaluation, selection, implementation and support of databases solution.
Development and Testing: Develops codes for the required solution by determining the appropriate approach and leveraging business, technical, and data requirements.
Creates test cases to review and validate the proposed solution design. Work on POCs and deploy the software to production servers.
Good to Have (Preferred Skills):
- Minimum 4-8 Years of experience in Data warehouse design and development for large scale application
- Minimum 3 years of experience with star schema, dimensional modelling and extract transform load (ETL) Design and development
- Expertise working with various databases (SQL Server, Oracle)
- Experience developing Packages, Procedures, Views and triggers
- Nice to have Big data technologies
- The individual must have good written and oral communication skills.
- Nice to have SSIS
Education and Experience
- Minimum 4-8 years of software development experience
- Bachelor's and/or Master’s degree in computer science
Please revert back with below details.
Total Experience:
Relevant Experience:
Current CTC:
Expected CTC:
Any offers: Y/N
Notice Period:
Qualification:
DOB:
Present Company Name:
Designation:
Domain
Reason for job change:
Current Location:



