

Job Description
This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.
Problems being solved by our client:
Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.
Duties and responsibilities:
- The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions.
- Develop, implement, and support statistical or machine learning methodologies and processes.
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies
- Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
- Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients
Qualifications:
- 3-5 years relevant work experience in areas as outlined below
- Experience in extracting data using SQL from large databases
- Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
- Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered.
- Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.
- Excellent verbal and written communication skills.
- Experience with TV or digital audience measurement or market research data is a plus.
- Familiarity with systems analysis or systems thinking is a plus.
- Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
- Excellent verbal, written and computer communication skills
- Ability to engage with Senior Leaders across all functional departments
- Ability to take on new responsibilities and adapt to changes

About Magic9 Media and Consumer Knowledge Pvt. Ltd.
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Requirement
- Min. 1yr to 3yr experience. (Must have L1 technical knowledge of Desktop, Laptop, Network LAN, Wifi and printers)
- Ability to install, configure and troubleshoot Windows 7/8/10.
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- Education: Diploma/Graduation/Undergraduate.
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Benefits
- 3 lakh rupees medical insurance
- 5 lakh rupees term insurance
- Opportunity to learn new skills and certifications
Hi All
Position - IT Executive
Exp - 6+
Location: - Ansari Road , Daryaganj – 110002
Shift - 7:30 AM to 4:30 PM (Monday to Saturday)
Responsibilities:
• Managing all Network equipment and ensuring uptime
• Attend the Incident Management calls.
• Create diagrams as per the requirements concerning processes and locations.
Must have Broking company experience
Required Skills:
• Switching
• Routing
• Security Management
• Hardware Networking
• Firewall
• Software Installation
• System Administration
• Desktop Support
Requirements & Skills:
Experience: Minimum 1 year of experience in real estate sales or telesales, preferably with a CP (Channel Partner) company.
Sales Success: Ability to meet or exceed sales quotas.
Lead Conversion: Strong skills in generating leads and converting them into clients.
Communication: Proficiency in English and excellent interpersonal skills.
Resilience: Ability to handle rejection and stay motivated.
Negotiation: Strong negotiation skills to close deals and resolve client issues.
Publicis Sapient Overview:
The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
.
Job Summary:
As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution
The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.
Role & Responsibilities:
Job Title: Senior Associate L1 – Data Engineering
Your role is focused on Design, Development and delivery of solutions involving:
• Data Ingestion, Integration and Transformation
• Data Storage and Computation Frameworks, Performance Optimizations
• Analytics & Visualizations
• Infrastructure & Cloud Computing
• Data Management Platforms
• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time
• Build functionality for data analytics, search and aggregation
Experience Guidelines:
Mandatory Experience and Competencies:
# Competency
1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies
2.Minimum 1.5 years of experience in Big Data technologies
3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.
4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable
5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc
Preferred Experience and Knowledge (Good to Have):
# Competency
1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience
2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc
3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures
4.Performance tuning and optimization of data pipelines
5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality
6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security
7.Cloud data specialty and other related Big data technology certifications
Job Title: Senior Associate L1 – Data Engineering
Personal Attributes:
• Strong written and verbal communication skills
• Articulation skills
• Good team player
• Self-starter who requires minimal oversight
• Ability to prioritize and manage multiple tasks
• Process orientation and the ability to define and set up processes

Hi, Connections!
📢WE ARE #HIRING!📢
👉ROLE : Engineer / Senior Software Engineer, .NET Core with Angular9+ to 14.
👉Position: #hybrid
👉 Location: #pune
👉Job Responsibilities:
● Develop full-stack features and rapid prototypes
● Develop enhancements to existing software products
● Develop API integrations to external solutions
● Work in a team and communicate successes and challenges quickly and objectively
● Create relevant documentation for deliverables in Jira and SharePoint
👉Experience Required:
➡️ Excellent analytical and troubleshooting skills
➡️ 3+ years of software engineering experience
➡️ 3+ years of back-end experience with C#, .NET Core (C API preferred), ASP.NET Core, SQL, RESTful, web services and microsevices
➡️ 1+ years of front-end experience with Angular9+ to14 , RxJS, TypeScript,HTML5, CSS3 ,SCSS
➡️ 3+ years of experience with Web Workers and WebSockets
➡️ 3+ years of experience with SQL and any NoSQL database with eventual consistency
👉Apply Link : https://lnkd.in/diNDDP8h

Job Description
Condé Nast has a huge global footprint across 32 countries worldwide with total monthly visitors reaching more than 550 million. We aim to inspire, inform and entertain our audiences through our portfolio of well known brands such as Vogue, Wired, Vanity Fair, Architectural Digest, GQ and many other leading brands.
Condé Nast has operations in America, Europe, South America and Asia. There are long-established operations in major Indian cities such as Mumbai and Chennai across many business areas.
The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus will include video and streaming platforms, increasing subscriptions and memberships, growing our events business, and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Migrating and consolidating to a more centralised set of technologies and capabilities that can be easily leveraged by any brand or product experience is also a top business priority.
Engineering is responsible for scaling, building, deploying websites that serve over 500 million users globally. The global engineering team includes Product Engineering, Platform Engineering and Core Engineering.
About Platform Engineering
Our mission is to build modern media platforms to serve our omni-channel experiences for our portfolio of global brands such as Vogue, Wired, Vanity Fair, and Glamour which currently reaches over 500 million monthly users. We need your help to create new capabilities, and strengthen our existing ones, so that our brands can reach wider audiences through engaging digital experiences.
Quality, performance, experimentation, and speed of delivery are all principles at the heart of what we do as a Platform Engineering group. We have strong capabilities in areas such as editorial tooling, content delivery, design systems, advertising and commerce that we will continue to improve and grow. Our vision is to additionally invest in areas such as video, subscriptions, membership, and next generation editorial tools.
You will be working alongside international colleagues across the US, London, and India. We strongly emphasise cross-functional working through partnering directly with Product, Data, Design, UX and Delivery.
The Role
Condé Nast is looking for an experienced engineer to join and help us build the next generation of our content creation digital products. You will work closely with our product teams and help lead engineering teams in their shared mission to scale out and build our internal platform. These teams’ focus spans many types of products essential to both editors, other engineers, and subscribers. Your work will drive the future of Condé Nast’s digital strategy in today’s publishing market and reach our millions of readers around the world.
Responsibilities
-
Collaborate with other disciplines (engineering, design, product) in the creation and iteration of web applications built for our subscribers
-
Helping leading projects from ideation to execution to maintenance
-
Collaborating with the broader engineering group on new ideas or improving existing ones
-
Identify and improve code and usability performance issues
-
Participate in design and code reviews
-
Helping us grow and expand our engineering teams
About you
-
Strong analytical and problem solving skills
-
Expert level fluency in at least 1 programing language
-
Experience working with, designing, and deploying production-grade React/Ember applications
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Experience working with and helping Design Systems
-
Familiarity and experience with designing, and deploying production-grade RESTful APIs, experience and knowledge of GraphQL APIs a plus
-
Strong end-to-end testing experience and an emphasis on TDD methodologies
-
Eager to learn about new technologies and implementing these ideas in a production environment
Our tech
-
Languages and Frameworks: JavaScript, Node, React, Ember
-
Data: Mongo, Postgres, Elasticsearch, Kafka
-
Deployment: Docker, AWS, Terraform, Kubernetes, CircleCI
-
Datadog, Kibana, Elastic search - for observing our platform
-
APIs: GraphQL
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Source Control: Git, GitHub
How we work
-
Pairing. We like knowledge sharing and upskilling
-
Remote friendly. We work with engineers across time zones & locations
-
Infrastructure as Code everywhere
-
(Oncall - teams are responsible for their own apps)
Why Work With Us?
-
We offer industry-leading compensation and benefits
-
We are a bunch of smart, passionate, diverse co-workers who love to teach and love to learn
-
We provide whatever hardware and software you need to be productive
-
A functional, well-disciplined product development organization
-
Big changes are happening in publishing and at Condé Nast, and this is a great time to be a part of it all!

Experience - 3 to 6 Years
Location - Preffered Chennai
NP - Immediate to 7 Days
Candidates must have experience in Angular Front End Development.


Xfinito is building a portfolio in new product innovation, product contribution and infrastructure goals while providing individuals and teams the freedom to emphasize specific types of work.
Our work focuses on real –world problems that span the breadth of biomedical engineering, embedded systems, computer science, such as machine and deep learning, data mining, natural language processing, hardware and software performance analysis and much more.
JOB ROLE: EMBEDDED SYSTEMS ENGINEER
ROLES AND RESPONSIBILITIES:
- Work with multi-disciplinary engineering team and customer to identify and recommend hardware needs and requirements for project/product.
- Modify or assist in the development of software architecture and design for new products, prototype, or re-design, including sourcing build environments and writing technical support and control documentation.
- Read Block Diagrams and detail circuit schematics and layout of proposed or existing hardware and assess the software and driver requirements.
- Participates in cross-divisional Edge IoT projects and/or proposals.
- Develop, oversee, and document automated tests for electrical hardware design and products as well as final operating drivers and systems.
- Evaluate and investigate product failures, and recommend repair or design modifications based on specifications, cost, resources, and risks.
REQUIREMENTS:
- Ability to creatively approach challenges and cleverly solve difficult problems.
- Ability to independently identify daily design and customer support tasks, self-start and motivate.
- Ability to manage several projects and prioritize appropriately, with minimal supervision.
- Ability to work in a collaborative team environment as well as independently.
- Ability to learn and work in virtual environments (CAD & Hardware build packages) in-which candidate’s skills are low but persevere and overcome skill gaps autonomously.
- Some experience programming with embedded systems designs and multithreaded real-time operating systems is required.
- Solid programming experience. Preferably in C or C++, .NET, and Java programming languages.
EXPERIENCE:
We as a team are looking for freshers or young professionals with (0-4 years of experience) passion and eagerness to create scalable and optimized software systems and execute complete embedded software development lifecycle.
- 6 to 8 years of experience with the majority as Java engineer
- Strong hands-on experience on building the application using technologies Java, Spring/Springboot/Microservices
- Experience in building Micro Services using Spring Boot would be a plus
- Strong knowledge and experience with SQL queries and databases like Postgre SQL/Oracle.

