Domestic Recruiter (Onsite)/Day Shift/Full Time
Panzer Technologies Pvt Ltd is seeking a Domestic Recruiter to manage end-to-end hiring processes. The role involves sourcing, screening, coordinating interviews, and maintaining data integrity within the ATS. Candidates should have 2-3 years of experience and strong organizational skills to handle high-volume hiring. The position is based onsite in Hyderabad and focuses on delivering a seamless candidate experience.
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Experience
2-3 years
Function
Human Resources
Work mode
Onsite, India
Company
Tier 3
What you will work on
Panzer Technologies Pvt Ltd is seeking a Domestic Recruiter to manage end-to-end hiring processes. The role involves sourcing, screening, coordinating interviews, and maintaining data integrity within the ATS. Candidates should have 2-3 years of experience and strong organizational skills to handle high-volume hiring. The position is based onsite in Hyderabad and focuses on delivering a seamless candidate experience.
TAL's take
Tier 3 company with a generic, non-technical recruitment role and unclear growth trajectory.
Clear and focused JD with well-defined recruitment responsibilities despite the lack of specific tool names.
Must haves
- 2-3 years of experience in full-cycle recruitment
- Ability to manage and prioritize multiple recruitment projects
- Clear and professional communication skills
- Proficiency in ATS and collaboration software
- Strong logical reasoning and problem-solving abilities
Tools and skills
About the company
Small, unbranded IT services company with limited industry presence.
Posts mentioning Panzer Technologies Pvt Ltd
Any good recommendations for low calorie sauces?
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What tofu do you guys use?
I am a vegetarian trying to include more protein in my diet without using protein powders. I tried to make tofu at home, did not like the taste. Tried the Briya tofu and i absolutely hate it. But I like the tofu thats served in pan-asian restaurants. its so soft and feels more like paneer. Any suggestions on where can I find such Tofu?
Someone scraped Zepto and shared data on reddit - did some analysis on it
Was eager to understand what people are ordering from these 10 min food delivery startups, don't think it'll be too different for Swish/Instamart Cafe also 1. Product popularity & ratings: - Most Rated Product: Margherita Pizza (4,591 ratings) leads, followed by Plain Maggi (3,643 ratings). - Highest Average Rating: Chocolate Mousse (4.5), Strawberry Shake (4.5), and Oreo Chocolate Shake (4.3). - Lowest Rated: Lemon Chai (4.0), Samosa Pav (4.2), and Masala Chaas (4.3). 2. Discounts & pricing strategy: - Highest Discounts: - Samosa (35% off, MRP ₹39 → ₹25). - Bun Maska (0% discount despite 4.1 rating). - Blue Flower Rose Tea (28% discount). - Low Discount ≠ Low Sales: Margherita Pizza (only 2% discount) is the most popular item. - Full-Price Products: Chicken Masala Maggi and Paneer Masala Maggi (0% discount, but sold out). 3. Stockouts & demand gaps: - Frequently Out-of-Stock: - Chicken Masala Maggi (Stockout = TRUE). - Shahi Tukda (dessert), Filter Coffee, and Chicken Shawarma Sandwich. - High Demand + Low Stock: Chocolate Mousse (only 1 available). 4. Category performance: - Top Categories by Listings: - Desi Snacks (25+ items, e.g., Maggi variants, Samosa). - Desserts (15+ items, e.g., Tiramisu, Gulab Jamun). - Tea & Coffee (15+ items, e.g., Cold Coffee, Masala Chai). - Best-Selling Subcategories: - Italian (Pizzas, Garlic Bread) – high ratings and volume. - Indian Meals (Butter Chicken, Chole Bhature) – moderate ratings but consistent sales. 5. Price vs. rating trends: - Premium Products: - Hyderabadi Chicken Biryani (₹299) and Strawberry Velvet Cake (₹499) have fewer ratings, suggesting niche appeal. - Affordable Bestsellers: - Samosa (₹25 after discount) and Plain Maggi (₹79) dominate volume. 6. Combo deals analysis: - Popular Combos: - Samosa & Adrak Chai Combo (178 ratings). - Margherita Pizza & Choco Lava Cake Combo (308 ratings). - Discount Impact: Combos with 10–15% discounts (e.g., Garlic Bread & Cold Coffee Combo) sell better. Important to note that he shared data for the HSR store so the data also makes sense wrt to a young tech crowd - things that people mostly order to office for snacks etc. No takeaways here, just some insights that I was playing around with - interpret however relevant to you :)