Sales manager (Saas),

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

Location: Bangalore

Experience: 2-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies think HR is about policies.

It isn’t.

It’s about building a system where great people join, stay, perform, and scale.

We are at a stage where hiring, performance, and culture cannot depend on founders anymore.

This role exists to build a repeatable, investor-grade people engine.

What you’ll do

You will not “manage HR.”

You will design and run the operating system for people.

1. Build a high-performance hiring engine

• Own hiring across functions (engineering, GTM, ops)
• Design structured hiring processes (scorecards, interview loops, decision frameworks)
• Ensure quality of hire improves over time, not just speed
• Build pipelines for leadership hiring (not just execution roles)

2. Design compensation & ownership frameworks

• Build clear, defensible compensation bands
• Create an ESOP framework aligned with long-term value creation
• Ensure all comp decisions can withstand Series A investor scrutiny

3. Create a world-class onboarding system

• Design onboarding that drives productivity in weeks, not months
• Standardize onboarding playbooks across roles
• Track onboarding success through measurable outcomes

4. Own performance management

• Design and run performance review cycles
• Create clarity on:
• What good looks like
• How performance is measured
• How decisions are made (promotions, exits, rewards)
• Enable managers to run high-quality performance conversations

5. Build team health & operating rhythm

• Own:
• Leave management
• Team well-being
• Feedback loops
• Identify early signals of:
• Burnout
• Misalignment
• Performance drift
• Intervene before problems become visible

6. Develop leadership pipeline

• Identify and hire future leaders
• Work with founders to define leadership expectations
• Build succession depth across teams

7. Create an intern-to-full-time talent engine

• Design structured intern programs
• Train interns into deployable talent
• Build a bench of pre-trained candidates ready for rapid hiring

What success looks like

• Hiring becomes predictable, high-quality, and fast
• New hires become productive within weeks
• Compensation and ESOP structures are clear and defensible
• Performance reviews are objective and trusted
• Team health issues are caught early and resolved
• There is always a ready talent pipeline (interns + leadership)

Who you are

• You have 2-5 years of experience in people operations / talent
• You have built or scaled hiring and people systems, not just executed processes
• You think in systems and frameworks, not policies
• You are comfortable working closely with founders and influencing decisions
• You care deeply about performance, not just culture optics

What will make you stand out

• Experience in high-growth startups (Series A/B stage)
• Designed comp/ESOP frameworks from scratch
• Built structured hiring and performance systems
• Worked on leadership hiring and org design
• Can combine data + judgment in people decisions

Why join

• You will build the people foundation of a scaling company
• Your work directly impacts team quality, speed, and culture
• You will operate close to leadership and influence core decisions

What this role is not

• Not an admin or policy management role
• Not limited to payroll, compliance, or coordination
• Not reactive HR support

What this role is

• A builder of systems
• A guardian of talent quality
• A multiplier of team performance

Job Description

Overview:

We are seeking an experienced Azure Data Engineer to join our team in a hybrid Developer/Support capacity. This role focuses on enhancing and supporting existing Data & Analytics solutions by leveraging Azure Data Engineering technologies. The engineer will work on developing, maintaining, and deploying IT products and solutions that serve various business users, with a strong emphasis on performance, scalability, and reliability.

Must-Have Skills:

Azure Databricks

PySpark

Azure Synapse Analytics

Key Responsibilities:

• Incident classification and prioritization
• Log analysis and trend identification
• Coordination with Subject Matter Experts (SMEs)
• Escalation of unresolved or complex issues
• Root cause analysis and permanent resolution implementation
• Stakeholder communication and status updates
• Resolution of complex and major incidents
• Code reviews (Per week 2 per individual) to ensure adherence to standards and optimize performance
• Bug fixing of recurring or critical issues identified during operations
• Gold layer tasks, including enhancements and performance tuning.
• Design, develop, and support data pipelines and solutions using Azure data engineering services.
• Implement data flow and ETL techniques leveraging Azure Data Factory, Databricks, and Synapse.
• Cleanse, transform, and enrich datasets using Databricks notebooks and PySpark.

• Orchestrate and automate workflows across services and systems.
• Collaborate with business and technical teams to deliver robust and scalable data solutions.
• Work in a support role to resolve incidents, handle change/service requests, and monitor performance.
• Contribute to CI/CD pipeline implementation using Azure DevOps.

Technical Requirements:

• 4 to 6 years of experience in IT and Azure data engineering technologies.
• Strong experience in Azure Databricks, Azure Synapse, and ADLS Gen2.
• Proficient in Python, PySpark, and SQL.
• Experience with file formats such as JSON and Parquet.
• Working knowledge of database systems, with a preference for Teradata and Snowflake.
• Hands-on experience with Azure DevOps and CI/CD pipeline deployments.
• Understanding of Data Warehousing concepts and data modeling best practices.
• Familiarity with SNOW (ServiceNow) for incident and change management.

Non-Technical Requirements:

• Ability to work independently and collaboratively in virtual teams across geographies.
• Strong analytical and problem-solving skills.
• Experience in Agile development practices, including estimation, testing, and deployment.
• Effective task and time management with the ability to prioritize under pressure.
• Clear communication and documentation skills for project updates and technical processes.

Technologies:

• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• PySpark / SQL
• Azure Data Lake Storage (ADLS), Blob Storage
• Azure DevOps (CI/CD pipelines)

Nice-to-Have:

• Experience with Business Intelligence tools, preferably Power BI
• DP-203 certification (Azure Data Engineer Associate) 

NOTE -

Weekly rotational shifts -

11am to 8pm

2pm to 11pm

5pm to 2 am

P.S. - In any one weekend they should be available in call. If there is any issues alone they should work on that. there will be on call support monthly once.

• Design and develop application with your strong knowledge in .NET
  • Apply your expertise in OOPS and best coding practices, TDD & Solid design Principles.
  • Expertise level implementations of multithreading concepts & You are familiar with Full
  stack development. If you are a developer with strong experience in .Net backend technologies
  and comfortable on frontend technologies like angular, JavaScript HTML, CSS etc.
  • Apply your versatility in choosing appropriate tools and frameworks for the Core
  development procedures
  • Work on large scale complex algorithmic solutions and fine tuning
  • Working on service oriented solutions and micro services architecture and be a part of
  monolithic to micro services re-architecture

Job Summary
SQL development for our Enterprise Resource Planning (ERP) Product offered to SMEs. Regular modifications , creation and validation with testing of stored procedures , views, functions on MS SQL Server.
Responsibilities and Duties
Understanding the ERP Software and use cases.
Regular Creation,modifications and testing of

• Stored Procedures
• Views
• Functions
• Nested Queries
• Table and Schema Designs

Qualifications and Skills
MS SQL

• Procedural Language
• Datatypes
• Objects
• Databases
• Schema