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We are seeking a dynamic and target-driven Academic Counsellor (Sales) to convert student inquiries into enrollments. The role involves counselling prospective students, promoting academic programs, achieving admission targets, and ensuring a high-quality student experience.
Key Responsibilities
- Handle inbound and outbound calls, emails, and walk-ins from prospective students
- Counsel students and parents about courses, curriculum, fees, and career outcomes
- Convert leads into admissions and consistently achieve monthly sales targets
- Follow up with prospects and maintain accurate records in CRM systems
- Explain course benefits, USPs, and value propositions effectively
- Coordinate with marketing and academic teams for lead management
- Participate in admission drives, seminars, webinars, and events
- Handle objections professionally and close sales
- Provide post-enrollment support to ensure student satisfaction
Requirement:
- Bachelor’s degree in any discipline
- Experience:
- 0–1 year (Freshers with sales aptitude can apply)
- 1–4 years experience in education sales, academic counselling, or inside sales preferred
Preferred Attributes
- Experience in ed-tech, coaching institutes, or training organizations
- Willingness to work on weekends or during peak admission periods
- Self-motivated with a positive attitude
Job Description: Data Engineer
Position Overview:
Role Overview
We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.
Key Responsibilities
· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.
· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).
· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.
· Ensure data quality and consistency by implementing validation and governance practices.
· Work on data security best practices in compliance with organizational policies and regulations.
· Automate repetitive data engineering tasks using Python scripts and frameworks.
· Leverage CI/CD pipelines for deployment of data workflows on AWS.
Job Description: Full Stack Developer Company: Arroz Technology Private Limited CTC: 5 LPA
Location : Bangalore (Onsite)
Responsibilities:
- Design and develop scalable and high-performance web applications using the
MERN (MongoDB, Express.js, React.js, Node.js) stack.
- Collaborate with cross-functional teams to gather requirements and translate them into high-level designs.
- Write clean, reusable, and well-structured code following industry best practices and coding standards.
- Mentor and guide junior developers, providing technical expertise and promoting Professional growth.
- Conduct code reviews and provide constructive feedback to ensure code quality and adherence to standards.
- Collaborate with frontend and backend developers to integrate components and ensure smooth data flow.
- Work with UI/UX designers to implement responsive and user-friendly interfaces.
- Stay updated with the latest trends and advancements in full-stack development technologies.
- Work in a 10 AM to 6 PM, six-day office role, maintaining regular attendance and punctuality.
Required Skills and Qualifications:
-Strong proficiency in MERN (MongoDB, Express.js, React.js, Node.js) stack development.
-Experience with Redux or similar state management libraries.
-Solid understanding of front-end technologies such as HTML, CSS, and JavaScript.
-Proficiency in RESTful API development and integration.
-Familiarity with version control systems like Git and agile development methodologies.
-Good problem-solving and debugging skills.
-Excellent communication and teamwork abilities.
-Bachelor's degree in Computer Science or a related field (preferred).
Join Arroz Technology Private Limited as a Full Stack Developer and contribute to the development of cutting-edge web applications. This role offers competitive compensation and growth opportunities within a dynamic work environment.
Proven SEO experience
Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.
Solid understanding of performance marketing, conversion, and online customer acquisition
In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends)
Experience with bid management tools (e.g., Click Equations, Marin, Kenshoo, Search Ignite)
Experience with A/B and multivariate experiments
Working knowledge of HTML, CSS, and JavaScript development and constraints
Knowledge of ranking factors and search engine algorithms
Up-to-date with the latest trends and best practices in SEO and SEM
Sr. Data Engineer
Company Profile:
Bigfoot Retail Solutions [Shiprocket] is a logistics platform which connects Indian eCommerce SMBs with logistics players to enable end to end solutions.
Our innovative data backed platform drives logistics efficiency, helps reduce cost, increases sales throughput by reducing RTO and improves post order customer engagement and experience.
Our vision is to power all logistics for the direct commerce market in India
including first mile, linehaul, last mile, warehousing, cross border and O2O.
Position: Sr.Data Engineer
Team : Business Intelligence
Location: New Delhi
Job Description:
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Key Responsibilities:
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Job Location: Chennai
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 Description
Extensive hands on and teaching experience on Digital / SV /UVM/ Verilog / VHDL /DFT tools
Extensive experience in Back-end design
Experience on Mentor Graphics EDA flow is an added advantage
Responsible for development and support of Projects.
Responsible for Debugging the source codes in Verilog, SV, and UVM.
Responsible for Training Delivery and Support
Desired Candidate Profile
Sound Knowledge on Digital / Verilog / VHDL / SV / UVM / DFT / Back-end design
3 to 8 years industry/teaching experience
Good communication skill
The ideal candidate should be a proactive individual with strong communication skills and a team player.
Should have hands-on experience in the following:
- He or she should have experience of at least 3-5 years in Oracle PL/SQL development.
- Excellent in-depth knowledge in Cursors, Indexes, Stored Procedures, Functions, Packages,
- Triggers, Exception Handling.
- Excellent in-depth knowledge in Collections, Records, Bulk Collect, Views
- Knowledge of Dynamic SQL
- Exposure in Performance Tuning, Explain Plan
- Should have worked in SDLC environment
- Good communication skills
- Experience in working effectively within a team as well as an individual contributor
Strong understanding CSS frameworks
Has strong understanding of HTTP protocol and can integrate UI with RESTful APIs
Key Skills:
1. One or more of Python/PHP/Ruby/NodeJS/Java
2. Sound object-oriented skills, including strong design patterns knowledge
2. REST APIs
3. MVC architecture
4. MySQL/PostgreSQL
5. Exp with at least 1 NoSQL databases MongoDB/Memcache/Redis/
6. Exp with search technologies Elasticsearch/Solr
7. Exp building messaging based asynchrounous systems RabbitMQ/Kafka/SQS/Celery will be added advantage
8. Exp with Django/Flask frameworks will be added advantage
9. Knowledge of software best practices like Test-Driven Development (TDD) and Continuous Integration (CI) will be added adnavtage
Requirements:
1. Developing software solutions in conjunction with Relational theory, Rest APIs and NoSQL database technologies
2. Knowledge of cloud based technologies in AWS or Azure will be added advantage
3. Understanding of RDBMS technologies like MySQL, PostgreSQL.
4. Hands-on with Version control systems (GIT, SVN) and Unix/Ubuntu.
5. Experience in requirement analysis, HLD, LLD, unit & integration testing.
6. Good hands on experience in debugging application issues
TL;DR
1) Top performer in the company
2) Has worked with product based startup company
3) Ambitious and hardworking










