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Hunarstreet Technologies Pvt Ltd logo
Sales Engineer-Elevator
1 - 5 yrs
₹2L - ₹7L / yr
Navi Mumbai
Skills
Sales
Field Sales
elevator sales

•1-5 years of proven experience as a sales or in a similar role.

•Strong written and verbal communication skills.

•Strong technical knowledge of equipment and elevator systems. •Excellent communication and presentation skills.

•Time management and ability to meet deadlines

•Strong problem-solving skills and a customer-focused approach. •Proficiency in CRM software and Microsoft Office Suite (Excel, Word, PowerPoint).

•Valid driver’s license and willingness to travel as required.

•Ability to work independently and manage time effectively in a field-based role

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About Hunarstreet Technologies Pvt Ltd

Founded :
2022
Type :
Services
Size
Stage :
Profitable

About

At Hunarstreet Technologies Pvt Ltd, we specialize in delivering India’s fastest hiring solutions, tailored to meet the unique needs of businesses across various industries. Our mission is to connect companies with exceptional talent, enabling them to achieve their growth and operational goals swiftly and efficiently.

We are able to achieve a success rate of 87% in relevancy of candidates to the job position and 62% success rate in closing positions shared with us.

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Director - Data engineering


What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.


Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

  • Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
  • Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
  • Execution & Technical Resolution
  • Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
  • Quality Enforcement
  • Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

  • Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
  • Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
  • Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

  • Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
  • Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
  • Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.


Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.


Functional Skills

1. Delivery Management & Operational Excellence

  • Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
  • Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
  • SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
  • Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

  • Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
  • Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
  • Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
  • DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

  • Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
  • Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
  • Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
  • Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

  • Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
  • End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
  • Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
  • Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
  • AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
  • Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
  • Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
  • Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

  • Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
  • Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
  • Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
  • Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
  • Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
  • Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

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+3 more
About Mintifi
Mintifi Pvt Ltd. is a registered NBFC, funded by IFC, Elevation Capital, and Norwest Venture Partners.
Mintifi provides business loans to SMEs and we are building technology to automate the process. We are aiming to approve and disburse loans in minutes.

A good candidate should match the following experience level and skillset
  • 2 to 4 years experience in MERN stack
  • Good problem-solving technique
  • Knowledge of AWS ecosystem is a plus
  • Experience in FinTech is a big plus
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webengage
at webengage
1 recruiter
Prishita Manik
Posted by Prishita Manik
Mumbai, Bengaluru (Bangalore), Delhi, Gurugram, Noida
2 - 4 yrs
₹10L - ₹13L / yr
Lead Generation
b2b saas
Sales
Business Development
About us :

WebEngage is a customer data platform and marketing automation suite that makes user engagement and retention simplified and highly effective for consumer tech enterprises and SMBs. One of the hottest global SaaS companies, we've been recognized by G2 as a Marketing Automation Leader in Asia 2021.

The platform helps brands drive more revenue from their existing customers and anonymous users through highly contextual, hyper-personalized engagement campaigns across 10 communication channels.

We are headquartered in Mumbai, India, and have offices in Delhi, Bangalore, So Paulo, and Dubai. We work with thousands of brands worldwide, across industries like E-Commerce, Edtech, Fintech, Foodtech, Media & Publications, Gaming, BFSI, Healthcare, and Online Retail.

Learn more about us at www.webengage.com

We're looking for a results-driven sales development representative to actively seek new business opportunities, engage and build relationships with potential customers.

To be a successful Sales Development Representative, you should have excellent communication, interpersonal, and customer service skills. You should also demonstrate the ability to meet deadlines and have strong analytical and mathematical skills.

Key Responsibilities :

- Identify and prospect new Business Opportunities via personalized emails, Telephonic calls, prospecting via social Media Platforms such as LinkedIn, Twitter, online Databases, Websites.

- Introduce WebEngage's Solution to appropriate buyers within the Targeted Geographical Markets.

- Identify Key Decision Makers by performing research using prospecting tools Like LinkedIn, ZoonInfo, etc.

- Perform Client-need Analysis, track their pain-points to develop a reach-out strategy.

- Creating relationships with customers to identify their potential needs and qualify their interests

- Schedule potential Client meetings with our in-house Sales Representatives.

- Manage Sales Funnel while interacting with Prospective clients and maintain relationships for re-marketed prospects.

- Constantly work with Sales and Marketing Heads to strategize on Pipeline building and its progress.

- Work closely with Sales and Marketing teams to achieve Monthly/Quarterly revenue Goals.

- Prepare and Analyze lead Generation pipeline via Reports and Dashboards and give insights on the way ahead.

Required Skills and Experience :

- Commanding desire to learn and succeed in tech sales and business development.

- 2+ years of experience in Lead Generation / Sales development / Business development preferably in a SAAS company.

- Hands-on experience of CRM/prospecting tools like LinkedIn, Email drip tools like Outreach, Klenty and CRM tools like Salesforce, Pipedrive is an added advantage.

- Should have a strong communication along with good analytical skills.

Life at WebEngage :

- We take transparency very seriously. Along with a full view of team goals, get a top-level view across the board with our monthly & quarterly town hall meetings.

- A highly inclusive work culture that promotes a relaxed, creative and productive environment.

- Practice autonomy, open communication, growth opportunities, while maintaining a perfect work-life balance

- Go on company-sponsored offsites, once a year and blow off steam with your work buddies! (Post Pandemic)

Perks & Benefits :

Learning is a way of life. Unlock your full potential backed with cutting-edge tools and mentorship (Macbook for Engagers & reimbursement for your WFH setup!)

Get the best in class medical insurance (with Covid Care facilities), programs for taking care of your mental health, and a Contemporary Leave Policy (beyond sick leaves)

Explore more here :

https://youtu.be/Y0HjfyMjUpg

https://www.linkedin.com/company/webengage

https://twitter.com/WebEngage's =09

Think you fit the bill? Come along, let's redefine the future of Marketing Automation!
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