Responsibilities
Analyze user engagements (e.g. click-through and bounce rates)
Report on web traffic from all social media
Build and support SEO strategies, including optimizing keywords in content marketing projects
Identify the habits of our online customers and suggest ways to reach a broader audience
Maintain a cohesive strategy across all platforms to increase our brand awareness
Coordinate with our digital team and the Marketing department to design advertising campaigns
Ensure timely responses to customers and followers’ queries and comments
Advise other employees on their social media activity (e.g. how to respond to comments and questions by customers and what to share on personal or company accounts)
Research how emerging social networks and features can benefit our company
Requirements:
Previous work experience as a Social Media Analyst, Social Media Coordinator, or similar role
Hands-on experience with social media platforms and digital marketing campaigns
In-depth understanding of SEO, keyword research, and Google Analytics
Experiences with social media management tools, like Buffer and Hootsuite
Familiarity with online content (experience with WordPress and content management systems preferred)
Ability to identify target audience preferences and trends
Excellent communication skills
Time management and multitasking skills
Additional qualifications in digital technologies or social media management will add plus points to your performance.

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Job Summary
We are seeking a skilled Data Engineer with 4+ years of experience in building scalable data pipelines and working with modern data platforms. The ideal candidate should have strong expertise in Python, SQL, and cloud-based data solutions, with hands-on experience in ETL/ELT processes and data warehousing.
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Python
- Develop and optimize ETL/ELT workflows for data ingestion and transformation
- Work with structured and unstructured data from multiple sources
- Build and manage data warehouses/data lakes
- Perform data validation, cleansing, and quality checks
- Optimize SQL queries and improve data processing performance
- Collaborate with data analysts, data scientists, and business teams
- Implement data governance, security, and best practices
- Monitor pipelines and troubleshoot production issues
Required Skills
- Strong programming experience in Python (Pandas, NumPy, PySpark preferred)
- Excellent SQL skills (joins, window functions, performance tuning)
- Experience with ETL tools like Informatica, Talend, or DBT
- Hands-on experience with cloud platforms (Azure / AWS / GCP)
- Experience in data warehousing solutions like Snowflake, Redshift, BigQuery
- Knowledge of workflow orchestration tools like Apache Airflow
- Familiarity with version control tools like Git
Preferred Skills
- Experience with Big Data technologies (Spark, Hadoop)
- Knowledge of streaming tools like Kafka
- Exposure to CI/CD pipelines and DevOps practices
- Experience in data modeling (Star/Snowflake schema)
- Understanding of APIs and data integration
Responsibilities:
- Lead simultaneous development for multiple business verticals.
- Design & develop highly scalable, reliable, secure, and fault-tolerant systems.
- Ensure that exceptional standards are maintained in all aspects of engineering.
- Collaborate with other engineering teams to learn and share best practices.
- Take ownership of technical performance metrics and strive actively to improve them.
- Mentors junior members of the team and contributes to code reviews.
Requirements:
- A passion to solve tough engineering/data challenges.
- Be well versed with cloud computing platforms AWS/GCP
- Experience with SQL technologies (MySQL, PostgreSQL)
- Experience working with NoSQL technologies (MongoDB, ElasticSearch)
- Excellent Programming skills in Python/Java/GoLang
- Big Data streaming services (Kinesis, Kafka, RabbitMQ)
- Distributed cache systems(Redis, Memcache)
- Advanced data solutions(BigQuery, RedShift, DynamoDB, Cassandra)
- Automated testing frameworks and CI/CD pipelines Infrastructure orchestration(Docker/Kubernetes/Nginx)
- Cloud-native tech like Lambda, ASG, CDN, ELB, SNS/SQS, S3 Route53 SES
Our client is a leading student housing platform globally, with 1M student housing units listed in 6 countries and across 80 cities. They helped 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process.
Roles and Responsibilities
● Work closely with the sales business leaders to achieve the sales targets in the assigned regions.
● Responsible for managing a team of around 20 people with 3-5 managers.
● Must be able to manage the existing process that is scalable.
● To mentor and coach sales associates/managers.
● Responsible for taking participation in recruitment events for your team.
● To ensure that the team is up to date with all the relevant product knowledge and service
offerings.
● To track and report KPI and KRA’s of the team on a weekly/monthly/quarterly basis.
● Responsible for achieving team and individual targets on a weekly/monthly/quarterly basis.
● Responsible for collaborating with the marketing team to help them plan marketing campaigns as per assigned region requirements.
Requirements
● Graduation in any field.
● Minimum 2-3 years of experience as a sales manager/sales lead.
● Should have experience in managing 10-15 members.
● Excellent communication skills in English.
● Understanding performance data and transforming it into actionable strategy.
● Basic knowledge of MS excel and sales pipeline and CRM.
● Ability to motivate employees.
● A leader and strategic thinker.
Role: Team Leader
Job Responsibilities :
Handling team of 20-25 people
Set clear team goals
Delegate tasks and set deadlines
Recruit, Train, and Coach the Sales Team
Identify opportunities to improve the work processes.
Ability to manage time to meet multiple priorities and deadlines.
Prepare multiple reports
Developing strategies to improve sales performance through ongoing training and development
Eligibility Criteria :
Any Graduate
Minimum of 1 year of experience as Team Leader in Sales
Excellent verbal, written, and interpersonal communication skills, MS Office knowledge(Word, Excel, Access, and PowerPoint).
Rotational off and 6 days working
Female candidate preferred
Location - Gurgaon Preferred
Supporting today’s data driven business world, our client acts as a full-stack data intelligence platform which leverages granular and deep data from various sources, thus helping the decision-makers at the executive level. Their solutions include supply chain optimization, building footprints, track construction hotspots, real estate, and lots more.
Their work embeds geospatial analytics, location intelligence and predictive modelling in the foundations of economic modelling and evaluation theory to build data intelligence layers for their clients which include governments, multilateral institutions, and private organizations.
Headquartered in New Delhi, our client works as a team of economists, data scientists, geo-spatial analysts, etc. Their decision-support system includes Big-Data, predictive modeling, forecasting, socio economic dataset and many more.
As a Senior Manager– Data Intelligence, you will be responsible for contributing to all stages of projects– conceptualizing, preparing work plans, overseeing analytical work, driving teams to meet targets and ensuring quality standards.
What you will do:
- Thoroughly understanding the data processing pipeline and troubleshooting/problem-solving the technical team
- Acting as SPOC for client communications across the portfolio of projects undertaken by the organization
- Contributing to different aspects of organizational growth– team building, process building, strategy and business development
Desired Candidate Profile
What you need to have:- Post-graduate degree in relevant subjects such as Economics/ Engineering/ Quantitative Social Sciences/ Management etc
- At least 5 years of relevant work experience
- Vast experience in managing multiple client projects
- Strong data/quantitative analysis skills are a must
- Prior experience working in data analytics teams
- Credible experience of data platforms & languages in the past
Description
Quantive is seeking an incredible Junior Frontend Engineer (Angular) with 1-2 years of relevant experience to join our growing team!
About Quantive
Quantive, formally Gtmhub, exists to make people successful by helping them achieve ambitious goals. We act on this by providing strategy execution solutions that help companies win. Our vision is that, one day, every company, regardless of size or resources, can achieve more than they ever thought possible.
We are honored to support over 500,000 users across 75 countries and 1,000+ organizations including Red Hat, Adobe, Societe Generale, and TomTom. We've raised over $160 million in funding, including our most recent Series C led by Index Ventures, and our global team is growing fast.
The Role
We are looking for a super-smart, innovative, and over-achieving Junior Frontend Engineer (Angular) with a passion for building solutions to customer’s biggest issues.
You will own the development of our most complex solutions and you will be responsible for building tools, apps and best practices to help the Technical Success team to scale and mature the delivery of our technical services to customers.
The successful candidate will be a strongly self-motivated and driven individual who is goal-oriented, methodical, and tenacious, and can effectively interact with a team.
The Details
As a Junior Frontend Engineer (Angular), you'll:
- Partner with Technical Success Managers to deliver technical solutions to customers
- Create custom UIs for Quantive's data using HTML, CSS, Javascript and Angular best practices
- Cooperate with web designers and Technical Success Managers to match visual designs
- Continually explore new ways to improve our solutions
- Be responsible for maintaining, expanding, and scaling our technical services offering
- Gathering and refining specifications and requirements for customer solutions based on technical needs
- Build and maintain tooling for all things customer related
- Develop and maintain reports and apps for the Quantive Marketplace
What We're Looking for
To be successful in this role at Quantive, you'll need to have:
- Previous experience in web programming
- Ability to speak English at business level
- In-depth knowledge of HTML, CSS and Javascript
- Experience with Angular and/or TypeScript
- Proficiency in SQL
- Knowledge of other programming skills is an advantage
- BA/BS degree in Computer Science or related field
Compensation and Benefits
What's in it for you:
- Competitive base salary and bonus opportunities.
- Quarterly bonus opportunities (up to 25%)
- Employer-covered supplementary medical insurance
- Access to 5,000+ Udemy courses for ongoing learning and development
- Stock option opportunities
- MAC or PC of your choice
- Flexible working hours and leave policy.
- A truly flexible, trust-based, performance-driven work culture.
Job Description
We are looking for a PHP Developer responsible for managing back-end services and 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.
Responsibilities
- Integration of user-facing elements developed by front-end developers
- Build efficient, testable, and reusable PHP modules
- Solve complex performance problems and architectural challenges
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
Skillsets required
- Full-stack PHP Developer
- Backend in Core PHP with API integration experience
- Must have good US experience
- HTML5
- CSS3
- Angular JavaScript
- Oops
- Data & Analytics team is responsible to integrate new data sources and build data models, data dictionaries and machine learning models for the Wholesale Bank.
- The goal is to design and build data products to support squads in Wholesale Bank with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data.
- The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.
- Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience.
6 Years - 10 Years
Analytics
- Should be comfortable in solving Wholesale Banking domain analytical solution within AI/ML platform










