Senior Automation Engineer

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.

We are looking for a Senior Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well. Collaborate with front-end and back-end developers and designers to build website following client requirements.

Responsibilities

• Create clear, simple, and reusable code
• Develop all server-side logic, including data storage to optimize website performance
• Identify programming bottlenecks and bugs and find fixes
• Test, update and validate web applications to be used on different web browsers
• Execute automated testing platforms and system tests
• Familiarity with front-end technologies
• Attention to detail, especially in identifying and fixing errors.

Required Skills

• 3+ Years of experience in back-end development
• Knowledge and experience in Node js and Mongo DB
• Experience in Microservices Architecture

Company Profile:

The company is World's No1 Global management consulting firm.

 Job Description for Sales Representative.

We are looking for a motivated and well-spoken inside sales representative to join our sales team. The inside sales representative will be responsible for developing new leads, communicating with customers, understanding their needs, and ensuring a smooth sales process. You should be able to close sales and meet targets.

To be successful as an inside sales representative you should be able to build instant rapport and achieve customer satisfaction. A top inside sales representative should also be very competitive and a good listener.

Inside Sales Representative Responsibilities:

Communicating with customers, making outbound calls to potential customers, and following up on leads.

Understanding customers' needs and identifying sales opportunities.

Answering potential customers' questions and sending additional information per email.

Keeping up with product and service information and updates.

Creating and maintaining a database of current and potential customers.

Explaining and demonstrating features of products and services.

Staying informed about competing products and services.

Upselling products and services.

Researching and qualifying new leads.

Closing sales and achieving sales targets

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.

• Building components for the company's advanced health tech platform using Java, Solr, SpringBoot, DialogFlow
• Communicating effectively in a cross-functional product development team and present ideas and solutions effectively
• Participating in technical planning and requirements gathering phases including design, code, test, troubleshoot, and document engineering software applications
• Developing the Code as per the requirements
• Working with product team and constructing the tech roadmap
• Designing, building and scaling the company's backend microservices
• Maintaining code integrity and organization
• Applying all quality requirements to make the code production ready
• Developing and deploying new features to facilitate related procedures and tools if necessary
• Developing documentation related to technical aspects and to facilitate current support, development, upgrades, or migrations
• Designing and building efficient, reusable, and reliable Java code
• Pro actively catching and fixing bugs, and providing support for the back end services
• Managing servers and infrastructure by keeping the lights on and refining the deployment architecture

What you need to have:

• The incumbent will report to Manager/Sr. Manager - Business Development and will be Executive/Sr. Executive depending upon the relevance and no. of years of experience.-
• Collaborating with Regional Sales Managers to accelerate the influx of business opportunities in the assigned territory.
• Reaching out via Phone/Email/Social Media to connect with prospective customers.- Conducting secondary research into company financials, line of business, technology requirements, etc., to personalize prospecting efforts-
• Staying up to date with the latest procurement industry trends & best practices- Competitor analysis & positioning against them-
• Delivering first-level Corporate Overview Presentations- Pre-qualification of business opportunities (Gauging- Budget, Authority, Need & Timeline)-
• Strategizing cross-functional campaigns to be conducted by BD & Marketing Necessary

• Educational Qualification:
• Graduation is a must (B.E.and MBA referred)-
• Excellent verbal & written communication skills in English (Public Speaking background is preferable)-
• Soft Skills (Pitching, Probing, Objection Handling, Rapport Building)-
• Strong, in-depth analytical skill-
• Proficient in professional business conversational etiquette-
• Account Mapping & Social Selling ability-
• Networking & Team Management
• Work Location: Mumbai
• Education: Any Graduate/ Post Graduate

• LOCATION: Mumbai
• COMPENSATION: Competitive
• WHY ZYCUS? :- Be a part of one of the fastest-growing product Companies in India-
• Come join a young, dynamic & enterprising team-
• Work on the latest technologies-
• Flexible working hours (As per business requirement).