Sr. Data Engineer

Big Data Engineer- SCALA

Required Skills:

1. Experience in building modern and scalable REST – based microservices using Scala, preferably with Play as MVC framework.

2. Expertise with functional programming using SCALA

3. Experience in implementing RESTful web services in Scala, Java or similar languages.

4. Experience with No SQL and SQL databases.

5. Experience in information retrieval and machine learning

6. Experience/ knowledge in big data using Scala spark, ML, Kafka, and Elastic search will be plus.

We are looking for a Director of Engineering to lead one of our key product engineering teams. This role will report directly to the VP of Engineering and will be responsible for successful execution of the company's business mission through development of cutting-edge software products and solutions.

• As an owner of the product you will be required to plan and execute the product road map and provide technical leadership to the engineering team.
• You will have to collaborate with Product Management and Implementation teams and build a commercially successful product.
• You will be responsible to recruit & lead a team of highly skilled software engineers and provide strong hands on engineering leadership.
• Requirement deep technical knowledge in Software Product Engineering using Amazon Web Services,Java 8 Java/J2EE, Node.js, React.js, fullstack, NosqlDB, mongodb, cassandra, neo4j, elastic search, kibana, elk, kafka, redis, docker, kubernetes, Amazon Web Services ,Architecture Concepts,Design PatternsData Structures & Algorithms,Distributed Computing,Multi-threading,AWS,Docker,Kubernetes, apache, solr, activemq, rabbitmq, spark, scala, sqoop, hbase, hive, websocket, webcrawler, springboot, etc. is a must.

• 16+ years of experience in Software Engineering with at least 5+ years as an engineering leader in a software product company.
• Hands-on technical leadership with proven ability to recruit high performance talent
• High technical credibility - ability to audit technical decisions and push for the best solution to a problem.
• Experience building E2E Application right from backend database to persistent layer.
• Experience UI technologies Angular, react.js, Node.js or fullstack environment will be preferred.
• Experience with NoSQL technologies (MongoDB, Cassandra, Neo4j, Dynamodb, etc.)
• Elastic Search, Kibana, ELK, Logstash.
• Experience in developing Enterprise Software using Agile Methodology.
• Good understanding of Kafka, Redis, ActiveMQ, RabbitMQ, Solr etc.
• SaaS cloud-based platform exposure.
• Experience on Docker, Kubernetes etc.
• Ownership E2E design development and also quality enterprise product/application deliverable exposure
• A track record of setting and achieving high standards
• Strong understanding of modern technology architecture
• Key Programming Skills: Java, J2EE with cutting edge technologies
• Excellent team building, mentoring and coaching skills are a must-have

Neo Jarvis: Vice President - Software Engineering

About the Role :

VP- Software Engineering would be responsible for providing technical leadership to our product engineering team. We are looking for a Full-stack Developer (Architecture Scope) with the craftsmanship of understanding, thinking, learning from the past, and then building. In addition, you should have the leverage to work on mistakes immediately, which requires one to learn by trial and error and eventually lead to perfection, instead of looking at perfection at the first attempt.

Expectations :

• Ability to learn new technology and be hands-on .
• Apply the fundamentals of Data Structure & algorithms over application development.
• To have explored serverless and basics of Docker and Kubernetes.
• Should have enabled cloud-based micro-services production-ready designs using AWS or Google Cloud services handling a scale of more than 1000+ concurrent user volume .
• Take ownership, and visualize security and data privacy while building.
• Primary ownership lies in POCs for solutions requiring Performance, Scale, Cost Optimization.
• Secondary ownership lies in POCs on AI Initiatives .
• Brainstorm and prepare logical and physical solution architecture and code flow diagrams for internal and external consumption .
• Apply design thought process and enable POC outcomes to facilitate production-ready code .
• Self-initiated improvements within the product to scale the solution architecture .
• Prioritize, optimize and automate any manual activities .
• Owns and facilitates Code Review .
• Owns and facilitates unit and integration test cases coverage from the product code lines.
• Understand SCRUM/Agile methodologies of working together.

Requirements :

• Total experience of 10 to 12 years.
• Angularjs or Reactjs, Typescript or JavaScript, NodeJs, MYSQL, NoSQL (Additional preference).
• Should have enabled cloud-based production-ready designs using AWS or Google Cloud services.
• Someone who is disciplined to document the artifacts and enables a design-based problem-solving approach.
• An ever-learning mindset and never-give-up attitude is more valuable to us than work experience. 

Perks:

• Flexible work timings and no leave policy
• We don't go behind timelines, we work for better product at flexible working hours.
• No hierarchy - Everyone has open access to anyone in the team.
• Medical insurance - We got you covered we provide insurance for you and your family members.
• 5 days a week - Take time off to revitalise.

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.

• Own the product development from scratch
• Architect scalable, distributed and large-scale web and mobile solutions from scratch
• Code for fresh development and to troubleshoot and resolve issues
• Writing reusable, testable, and efficient code
• Creating database schemas that represent and support business processes
• Design and implementation of low-latency, high-availability, and performant applications
• Manage a team of   Developers and Interns
• Boost productivity of team by guiding junior employees and setting the right path for the team

• Excellent analytical skills and understanding of computing fundamentals
• At least 5 years of work experience as a Software Developer
• Strong knowledge either of NodeJS or Python
• Experience working with AWS Serverless Technologies(Lambda, ApiGateway, Cognito, DynamoDB)
• Experience with SQL and NoSQL databases
• Experience with CI/CD and automation methodologies
• .Experience and knowledge of open source tools & frameworks, broader cutting-edge technologies around server-side development

• Developing a deep understanding of our vast data sources on the web and knowing exactly how, when, and which data to scrap, parse and store
• Working closely with Database Administrators to store data in SQL and NoSQL databases
• Developing frameworks for automating and maintaining constant flow of data from multiple sources
• Working independently with little supervision to research and test innovative solutions skills

Desired Candidate Profile

• Bachelor/ Master’s degree in Computer science/ Computer Engineering/ Information Technology
• 1 - 5 years of relevant experience
• Strong coding experience in Python (knowledge of Java, JavaScript is a plus)
• Experience with SQL and NoSQL databases
• Experience with multi-processing, multi-threading, and AWS/Azure
• Strong knowledge of scraping frameworks such as Python (Request, Beautiful Soup), Web Harvest and others
• In depth knowledge of algorithms and data structures & previous experience with web crawling is a must    

• Take the microservices architecture to the next level of scalability, efficiency, observability, and availability. 
• Build, deploy & run multi-homed systems that work in multiple regions and cloud providers. 
• Build (and open source) data processing, storage and fetch systems at the petabyte scale with the lowest cost/GB while still responding in milliseconds at the 99th percentile. 
• Optimize algorithms which influence personalization, fulfillment/allocation, pricing, maps & routing, fleet positioning, payments, fraud prevention etc 
• Create platforms, reusable libraries, and utilities wherever applicable 
• Write high-quality code that is modular, functional and testable; Establish the best coding practices 
• Formally mentor junior engineers on design, coding, and troubleshooting 
• Troubleshoot issues effectively in a distributed architecture 
• Communicate, collaborate and work effectively in a global environment 
• Operationalize releases by partnering with Tech operations on capacity planning and operability of the product

Experience:

• of years  - 10+ years
• Type of experience - software design, development & architecture
• Experience in Product companies working on Internet-scale applications is preferred 
• Contribution to open-source software, tech blogs, talking at tech conferences, etc. 

Educational Qualifications:

○  Must have - Bachelor’s or Master’s degree in Engineering from premier institutes preferred  

Key competencies:

•  Deep understanding of one or more of Java/Go/Scala/C++. Ability to understand and critique the core library/language constructs. 
• Knowledge of processor, memory, network and storage internals. 
• Deep understanding of distributed systems including fault modeling, concurrency, isolation, consensus etc. 
• Internals of a RDBMS like MySQL 
• Conversant with the internals of systems like Kafka, Cassandra/Scylla, Redis, RocksDB, etc 
• Working knowledge of hosting and network infrastructure (K8s, Envoy, etc) 
• Familiarity with binary serialization protocols like thrift/protobuf/flatbuffers etc 
• Familiar with gRPC, HTTP/2, QUIC, etc. 
• Troubleshooting memory issues, GC tuning, resource leaks etc. 
• Strong problem-solving skills, algorithmic skills and data structures. 
• Productionizing machine learning pipelines using Spark/Flink/TensorFlow etc