Azure Data Engineer

Department: Sales

Reports To: Sales Head

Key Responsibilities (KRA)

1. Outbound Prospecting (35%)

Build target account lists (Fortune 500 & Global 2000)

Identify Procurement, Finance, AP, Shared Services and Supply Chain decision makers

Execute personalized outreach via:

Cold Calls

LinkedIn

Email

Video Messages

Book discovery meetings

Target

 70–100 outbound activities/day

15–20 new accounts/week

2. Pipeline Generation (30%)

Generate qualified opportunities for Account Executives.

Monthly Targets:

18–25 Discovery Meetings

12–15 Sales Qualified Opportunities (SQOs)

Pipeline Generated:

USD 500K–1M per quarter

3. Lead Qualification (15%)

Qualify prospects based on:

ERP landscape (SAP, Oracle, Workday, Coupa)

Annual Revenue

Addressable Spend

Procurement maturity

AP Automation maturity

Current recovery audit process

Buying committee

Use frameworks such as MEDDICC, BANT, or CHAMP to ensure only qualified opportunities progress.

4. CRM Management (10%)

Maintain Salesforce/HubSpot with

Call notes

Next steps

Contact hierarchy

Buying committee

Opportunity stages

Maintain >95% CRM hygiene.

5. Market Intelligence (10%)

Research

Company acquisitions

ERP implementations

Shared Service Centers

Procurement transformation initiatives

Cost optimization programs

Finance leadership changes

Provide intelligence before AE meetings.

Position: SAP Fieldglass

Location: Gurugaon, Noida,Delhi, Pune location - Hybrid 

Total Experience: 9 - 12 years

Skills:

1. 9+ years of experience in documenting technical specification esp around Data Flows, Data Transformation, Source to Target Mapping.

2. Capable of proactively and independently collaborating with the functional Contingent Worker Management teams to grasp process complexities and integration needs, translating them into technical specifications. Employs a consultative method to comprehend SAP Fieldglass functionality and leverage understanding for solution development.

3. Solid written and verbal communication skills to lead and facilitate requirements and design workshops with stakeholders on projects as well as enhancement requests

Good to have:

1. Very organized individual that creates clear and comprehensive specification documents for interfaces

2. Develop and execute comprehensive work plans and test plans to ensure high quality work product prior to deployment

3. Experience in the HR domain and on a SaaS application SAP Fieldglass, Workday etc is a plus

We are looking for a skilled Android Developer with strong Kotlin experience to join our mobile development team. The candidate will be responsible for developing, maintaining, and improving Android applications while ensuring high performance, responsiveness, and code quality.

Key Responsibilities

• Design and build advanced Android applications using Kotlin.
• Collaborate with product managers, designers, and backend developers to define app features.
• Maintain clean, efficient, and reusable code.
• Implement modern Android architecture patterns (MVVM/MVP/MVI).
• Integrate RESTful APIs and third-party libraries.
• Debug, troubleshoot, and fix bugs to improve application performance.
• Write unit and UI tests to ensure application reliability.
• Participate in code reviews and follow best coding practices.
• Optimize applications for maximum speed and scalability.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong experience in Android development using Kotlin.
• Solid understanding of Android SDK, Android Studio, and Gradle.
• Experience with MVVM architecture and Jetpack components (LiveData, ViewModel, Navigation, Room).
• Experience with REST APIs and JSON.
• Knowledge of Git or other version control systems.
• Understanding of Material Design guidelines.
• Experience with debugging and performance optimization
• 
  

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Requirements :

• 1-3 years of experience in React Native, with a proven track record of contributing to moderate to complex product use-cases.
• Mandatory expertise in React Native and JavaScript/Typescript, with good knowledge of the mobile app development ecosystem for Android and iOS.
• Strong knowledge of state management libraries such as Redux, MobX, or similar.
• Implement best practices for mobile app development, including performance optimization, security, and user experience.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills, with the ability to inspire and mentor team members.

Role Overview:

We are hiring dynamic, target-oriented, and self-motivated Business Development Executives who can drive international business growth and build long-term client relationships.

Key Responsibilities:

• Identify, research, and generate quality leads across international markets
• Reach out to potential clients via calls, emails, LinkedIn, and networking
• Understand client requirements and present customized IT service solutions
• Build and nurture strong customer relationships for repeat business
• Collaborate with the sales and technical team for proposal building
• Lead negotiations and close high-value deals successfully
• Track market trends, competitor analysis, and sales forecasts
• Maintain accurate sales records in CRM tools
• Extra Edge: Participate in international client calls and explore global opportunities

Required Qualifications & Skills:

• 1 to 1.5 years of proven experience in International IT Sales / Business Development
• Strong communication, presentation, and client handling skills
• Ability to achieve and exceed sales targets
• Proficiency in MS Office, CRM tools, and online research
• Strong negotiation and convincing abilities
• Self-driven with a growth mindset and result-oriented approach
• Extra Advantage: Prior experience with US, UK, or Middle East clients

Why Join Us?

• Exposure to international clients and global sales experience
• A young, energetic, and collaborative work environment at Ahmedabad

• In-depth knowledge of SAP system, ABAP language and HANA platform.
• Experience in using/ working with ABAP, OO ABAP, Reports, BAPI, BADI, User Exits, ALV Reports, Module Pool, BDC, Smart Forms, Adobe Forms, ALE/IDOC, RFCs, HANA - CDS view, Attribute Views, Procedure, AMDP and ADBC experience, HANA Native Views Attribute View, Analytic Views, Modelling and Procedures and HANA XS and Search experience.

• Work on development, enhancements/ changes and implementation of SAP-ABAP projects.
• Provide high quality support throughout the project.
• Conduct defect analysis and perform necessary fixes and enhancements.
• Collaborate with functional owners, architects and other personnel to develop systems to meet the requirements.
• Create technical specification and estimations for assigned project.
• Work in compliance with the programming and documentation standards.
• Assist in unit testing of ABAP programs.
• Ensure project completion within the allotted timelines and budget.
• Troubleshoot production problems in a timely manner.
• Maintain and update existing program codes as needed.