Product Marketing Lead

DATA ENGINEER

Overview

They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.

Job Description:

We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.

Responsibilities:

Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.

Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.

Optimize and tune the performance of data systems to ensure efficient data processing and analysis.

Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.

Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.

Implement and maintain data governance and security measures to protect sensitive data.

Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.

Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.

Qualifications:

Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.

Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.

Strong programming skills in languages such as Python, Java, or Scala.

Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.

Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).

Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).

Solid understanding of data modeling, data warehousing, and ETL principles.

Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).

Strong problem-solving and analytical skills, with the ability to handle complex data challenges.

Excellent communication and collaboration skills to work effectively in a team environment.

Preferred Qualifications:

Advanced knowledge of distributed computing and parallel processing.

Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).

Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).

Experience with data visualization and reporting tools (e.g., Tableau, Power BI).

Certification in relevant technologies or data engineering disciplines.

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.

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini

1. Application Developer -API

• Experience: 2-5 years
• Experience in Design, build and configure applications to meet business process and application requirements using AZURE API development.
• Design, Build, Test and deploy the APIs using Microsoft Azure.
• Needs to support and handle the production APIs.
• Should have knowledge in Design Patterns.

• Source- Assess pain-areas in which new technology, solutions and workflows can be implemented to improve efficiency and productivity.
• Identify- Test, flag and fix potential problems, inefficiencies and weaknesses in all IT platforms used across the company/ clients.
• Analyse- Analysing a company's IT system and infrastructure.
• Assistance- Assist the team in research, testing and deploying new solutions based on the requirements of different departments across the company - Admin, HR, IT, Accounts, Sales, Client Relations, Marketing & Design.
• Innovate- Evaluate and foster innovation, to deliver high impact IT solutions by coordinating the business process-integration, automation and operation of all IT systems across the company / clients.
• Implement- Installing computer equipment and software, working with users to recommend appropriate hardware and software upgrades.
• Rearrange- Dealing with product faults and arranging repairs and replacements.
• Maintain- Periodic updates and maintenance of all the software used across different departments.
• Manage- Handle all employee joining and exiting formalities, for a smooth experience.
• Update- Be able to provide strong day-to-day server and workstation support.

• Prepare accurate and timely reports.
• Document technical knowledge in the form of notes and manuals.
• Ensure the creation and maintenance of all written documentation, including system and user manuals, company wiki, license agreements, warranties, and modifications & upgrades.

• Coordinate with the vendors for specialised setups, be the company representative in supervising and coordination when an external agency is involved.

• We prioritise skills over degrees but B.E (Computer Science/ Computer Engg/ IT Engg.), MCA or equivalent education and experience is a bonus.
• Progressive IT experience, including experience in a multi-office environment.
• Some sort of certification and/or training on Mac based IT systems is highly desired.

• In depth knowledge and expertise of the latest Microsoft and Mac OS & Server systems. Mobile Devices: iPhone, Android
• GSuite / Google Workspace, Microsoft Office 365
• Experience in backup, restoration and NAS setup & management.
• Networking & Internet Technologies, Active Directory, Group Policy, DNS, DHCP, IIS, iSCSI, VPN
• SaaS Applications, Business Apps & Tools (CRM, POS, CMS, ERP, ATS, HRMS etc.)
• Knowledge of Adobe Creative Suite / Design software, Zoho products is a bonus.

• Hunger to learn and grow, with a can-do attitude and immense passion in technology and how it can enhance the way people work. Keeping current with the latest technologies and developments.
• A true “customer service” attitude is required along with excellent verbal/written communication skills, and strong time management/organisational skills.
• Good listener, confident personality, courteous and friendly manner, absolute integrity.
• Work to deadlines and adapt quickly to a fast changing environment.
• Should adhere to strict confidentiality in maintaining all company and client data.

• Good organization skills and the ability to work closely in collaboration with all teams and external vendors.
• The ability to troubleshoot in a complex technical environment and to work with limited supervision is critical.
• The ability to manage expectations in a deadline driven culture (where a feeling of urgency is the norm) is vital in this role.
• Must possess a strong creative ability to apply IT to solve business problems.
• Superior analytical, evaluative, technical, and problem-solving abilities.

• IT Budget, Procurement and Vendor management.
• IT Infrastructure Management.

Exp: 2-8 Years

Immediate joiners or serving Notice only

Qualification BTech or BCA+MCA Only

Location – Gurgaon

Requirement - 6

        Must to have Angular 2/4/6/8/10 or Upper version, C# & WebAPI

• Programming experience using C#, Type Script languages.
• Programming experience using Angular2 & upper versions.
• Programming experience using RestAPI & WebAPI.
• Experience using relevant tool Microsoft Visual studio and Visual studio code.
• Extensive knowledge of agile methodologies.

• Writing reusable, testable, and efficient code.
• Perform Code reviews of other team members.
• Design and implementation of low-latency, high-availability, and performant applications
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection
• Integration of data storage solutions.
• Liaise with the product management team and architect the application / improve the architecture wherever necessary.

Skills And Qualifications

• 7+ years of the overall experience.
• Strong Practical knowledge and understanding of RESTful API
• Excellent Python coding skills and understanding of Python best practices (PEP8)
• Should handle a team of minimum 4 members
• Excellent detail-oriented, problem-solving skills and the ability to quickly learn and apply new concepts, principles, and solutions
• 7+ years of good hands-on experience in Python, with knowledge of Django
• Good hands-on experience in SQL Database (MYSQL / Postgres)
• Familiarity of Front End Development ( ReactJS )
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Able to create database schemas that represent and support business processes.
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools GIT.
• Has experience of working in an Agile Environment.
• Fluent in English (written and oral) Fluency in a second language is preferred.
• Comfortable working remotely with great communication skills for a remote work environment.

Bonus qualifications

• Knowledge of any cloud. ( Especially Azure )