Key Account Manager – Q-Commerce

JOB DETAILS:

Job Role: AM– People Operations (HR)

Industry: FMCG

Function: Human Resources

Work Mode: ONSITE

Working Day: 5

Salary: Best in Industry

Experience: 3-4 years

Location: Gurgaon

Required Skills: Offline Sales Talent Acquisition (GT/MT), Bulk & Lateral Hiring Execution, Startup Hiring Agility, Stakeholder & Candidate Management, HR Operations & Compliance Support

Criteria:

• Female candidates only
• Immediate joiners only
• Gurgaon-based candidates only
• Willingness to work from office (Udyog Vihar, Phase 3)
• 3 to 4 years of non-IT recruitment experience.
• Mandatory hands-on experience in Offline Sales hiring for FMCG brands (GT / MT)
• Proven experience in bulk and lateral hiring for field sales roles (ASM, SO, Promoters, Supervisors)
• Startup experience mandatory (fast-paced, high-growth environment)
• Strong capability in end-to-end talent acquisition (sourcing to onboarding)
• Experience with job portals, field hiring, referrals, and vendor coordination
• Ability to manage aggressive hiring targets, quick closures, and low TAT
• Basic exposure to HR Operations (onboarding, documentation, HRMS, attendance, compliance)

Description

Role Overview

We are looking for a hands-on Assistant Manager – People Operations with strong experience in non-IT hiring, especially Offline Sales hiring for FMCG brands (GT/MT). This role is 80% Talent Acquisition and 20% HR Operations, ideal for someone who thrives in a fast-paced startup environment, can take ownership, and make quick, practical decisions.

Key Responsibilities

🔹 Talent Acquisition (80%)

● End-to-end hiring for Offline Sales roles including:

○ General Trade (GT)

○ Modern Trade (MT)

○ Field Sales, ASM, SO, Promoters, Supervisors, etc.

● Handle bulk and lateral hiring across levels for FMCG sales teams

● Source candidates through:

○ Job portals (Naukri, Indeed, etc.)

○ Field hiring, referrals, vendor coordination

● Screen profiles, conduct initial interviews, and coordinate with business stakeholders

● Ensure quick closures, high offer-to-joining ratio, and minimal TAT

● Maintain hiring trackers, MIS, and recruitment dashboards

● Strong follow-ups with candidates to ensure smooth onboarding

🔹 HR Operations (20%)

● Support onboarding and joining formalities

● Coordinate documentation, employee records, and HRMS updates

● Assist in attendance, leave, and basic employee lifecycle processes

● Act as a point of contact for employees on day-to-day HR queries

● Ensure HR compliance and process adherence

Required Skills & Experience

● 3 to 4 years of relevant experience in non-IT hiring

● Mandatory experience in Offline Sales hiring for FMCG brands (GT/MT)

● Startup experience is mandatory (high-growth, fast-changing environment)

● Strong understanding of sales hiring challenges and ground realities

● Ability to work under pressure and manage aggressive hiring targets

● Excellent decision-making and stakeholder management skills

● Quick learner with a proactive and ownership-driven mindset

● Strong communication and follow-up skills

Candidate Criteria (Mandatory)

● Female candidates only

● Immediate joiners

● Gurgaon-based candidates only

● Willing to work from office (Udyog Vihar, Phase 3)

Why Join Us?

● Opportunity to work closely with the HR Head

● High ownership and visibility in a growing FMCG startup

● Fast learning curve and exposure to core business hiring

● Dynamic, execution-focused work culture

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

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