SDET

Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile

Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role

Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang

Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company

Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.

Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.

Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)

Mandatory (Education) - Only IIT colleges

Mandatory (Company) - B2B SaaS Companies with High data-traffic

🔹 Position: Recruiter

🔹 Salary: Up to ₹40,000/month

🔹 Location: Gurgaon (Only candidates from Delhi NCR should apply)

🔹 Experience: Minimum 1.5 years in recruitment

🔹 Age Requirement: 27 years

🔹 Joining: Immediate joiners preferred

Requirements:

✔ Minimum 1.5 years of experience in recruitment

✔ Expertise in sourcing through Naukri, LinkedIn, and other job portals

✔ Strong communication and interpersonal skills

✔ Ability to work under pressure and manage multiple job openings

🚀 If you are ready to take the next step in your recruitment career, apply now!

About the company:

Betterhalf.ai

Betterhalf is on a mission to help Indians find their match with single click matching. With 1M users and a presence in every city in India, our reach is expansive — and we’re rapidly growing users (50% quarter over quarter).

By mid next year, we'd like to become the 3rd largest player in the matrimony industry in India and make our path to being No.1. There’s never been a more exciting time to be at Betterhalf.

Company funding:

Betterhalf.ai has successfully raised a $3M Pre-Series A round and is backed by Y Combinator, Tribe Capital, Quiet Capital, Kunal Shah and Nobroker founders. Betterhalf is expected to do Series A in 9-12 months.

Your growth:

You’ll experience Series A, B in 24-months and become integrated as a Category Manager

You’ll see a 50-people team becoming a 150-people and will grab the rarest opportunity to be in the room where company’s decisions are planned with founders and marketing leaders.

Responsibilities:

• Work closely with Product teams to plan & develop features and extensions to existing product lines.
• Analyze sales data & research market trends, customer needs to develop key insights & growth opportunities. This workstream may involve ad-hoc RCAs / interventions on escalations.
• Work closely with sell-side & marketing teams to promote & create awareness for product lines.
• Work closely with CM’s  on integrating growth products with new launches as well as working on specific deep-dives for existing brand partners.
• Identify & build growth capabilities & enablers that will drive significant growth on online sales in India. These growth opportunities could span across affordability, third party services, monetization, new customer acquisition, supply growth & onboarding.
  
  

Qualifications:

Bachelor's degree, 2+ years in sales industry

Experience in full sales cycle, including deal closing. 

Demonstrated sales success

Strong negotiation skills

Strong communication and presentation skills

CRM experience is preferred

Compensation:

Fixed : 40-50k Per Month

Variable: as per performance

If you believe in Hustling and Getting the Job Done! Come Join us in our ambitious journey to revolutionize the Matrimony Industry.

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.

1-  Product uploading, Product Listing, Catalogue Management, Product Searching.

2- Candidate should have good knowledge of MS-Excel.

3- Candidate should have good typing speed.

4- Candidate should be proactive in approach

5- Basic knowledge of photo edit is required