Account Executive (Sales)

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

Mechanical Draftsman

Location: Ghatkopar, Mumbai

Department: Design

Experience: 1–2 Years (AutoCAD & Design)

Openings: 4 (Male/Female)

About the Role

We are looking for a detail-oriented and technically skilled Draftsman with hands-on experience in

AutoCAD and equipment design. The role involves preparing detailed engineering drawings,

coordinating with internal teams and clients, and supporting the design and costing of industrial

equipment, especially in the pharma/process industry.

Qualifications

 BE / Diploma in Mechanical Engineering

Required Skills

 Strong knowledge and hands-on experience in AutoCAD

 Experience in fabrication drawings (preferably vessels and process equipment)

 Understanding of engineering standards such as ASME / API / TEMA / PED

 Basic knowledge of BOQ preparation and costing

 Good communication and coordination skills

 Ability to review and interpret technical drawings and specifications

 Problem-solving and analytical skills

Key Responsibilities

 Preparation of GA (General Arrangement), P&ID, and layout drawings

 Designing and drafting of equipment such as Pressure Vessels, Heat Exchangers, and Storage

Tanks

 Preparation of mechanical data sheets

 Ensure designs are cost-effective and efficient

 Preparation of BOQ and support in costing activities

 Coordination with internal departments and clients for design-related activities

 Preparation and verification of Bill of Materials (BOM)

 Review specifications, sketches, and drawings to determine design requirements

 Modify and revise designs to improve performance and reduce production issues

 Preparation of technical and commercial offers

 Support project execution through proper documentation and drawing control

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in AWS cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

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.

RUloans

Role*: Business Manager – Loan Sales

*Experience*: Prior experience in Loan Sales is mandatory

*CTC*: 10 – 15 LPA

*Location*: PAN India – Travel required

*What we need:*

- Drive loan sales & manage business growth across regions

- Strong network in BFSI/DSA channels

- Target-driven with excellent relationship management skills

Max age 40

We are looking for a Senior Java Developer to join our core technology team and lead backend development for

our SaaS-based fleet management platform. You will work closely with the leadership team to design, build, and

scale robust backend systems that power our products.

• Design and develop scalable REST APIs and backend services using Java Spring Boot

• Own the database architecture and query optimization on PostgreSQL

• Collaborate with frontend and mobile developers to deliver integrated product features

• Ensure code quality through reviews, documentation, and best practices

• Contribute to architecture decisions and technical roadmap discussions

• Work directly with the founding team in a fast-paced, high-ownership environment

At DocNexus, we’re revolutionizing how life sciences companies search and generate insights. Our search platform unlocks powerful insights, and we're seeking a Customer Success Team Member with strong technical skills to help our customers harness its full potential.

What you’ll do:

• Customer Support: Troubleshoot and resolve customer queries, particularly around referral reports, data anomalies, and data generation using our platform.
• Data Queries (BigQuery/ClickHouse): Respond to customer requests for custom data queries, working with large datasets in BigQuery and ClickHouse to deliver precise insights.
• Onboarding & Training: Lead onboarding for new customers, guide teams on platform usage, and manage access requests.
• Listen & Improve: Collect and act on customer feedback to continuously improve the platform, collaborating with the product team to enhance functionality.
• Technical Documentation: Assist with technical resources and help create training materials for both internal and customer use.

What you bring:

• Strong Technical Skills: Proficient in querying with BigQuery and ClickHouse. Comfortable working with complex data, writing custom queries, and resolving technical issues.
• Customer-Focused: Excellent communication skills, able to translate technical data insights to non-technical users and provide solutions clearly and effectively.
• Problem-Solver: Strong analytical skills and a proactive mindset to address customer needs and overcome challenges in a fast-paced environment.
• Team Player: Work collaboratively with both internal teams and customers to ensure success.

If you're passionate about data, thrive in a technical environment, and are excited to support life sciences teams in their data-driven decision-making, we'd love to hear from you!

Data Engineer + Integration engineer + Support specialistExp – 5-8 years

Necessary Skills:· SQL & Python / PySpark

· AWS Services: Glue, Appflow, Redshift

· Data warehousing

· Data modelling

Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services

· A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes

· Work with stakeholders to identify business needs and requirements for data-related projects

Strong SQL and/or Python or PySpark knowledge

· Creating data models that can be used to extract information from various sources & store it in a usable format

· Optimize data models for performance and efficiency

· Write SQL queries to support data analysis and reporting

· Monitor and troubleshoot data pipelines

· Collaborate with software engineers to design and implement data-driven features

· Perform root cause analysis on data issues

· Maintain documentation of the data architecture and ETL processes

· Identifying opportunities to improve performance by improving database structure or indexing methods

· Maintaining existing applications by updating existing code or adding new features to meet new requirements

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Recommending infrastructure changes to improve capacity or performance

Experience in Process industry

Data Engineer + Integration engineer + Support specialistExp – 3-5 years

Necessary Skills:· SQL & Python / PySpark

· AWS Services: Glue, Appflow, Redshift

· Data warehousing basics

· Data modelling basics

Job Description:· Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.

· A strong understanding of data modelling, data structures, databases (Redshift)

Strong SQL and/or Python or PySpark knowledge

· Design and implement ETL processes to load data into the data warehouse

· Creating data models that can be used to extract information from various sources & store it in a usable format

· Optimize data models for performance and efficiency

· Write SQL queries to support data analysis and reporting

· Collaborate with team to design and implement data-driven features

· Monitor and troubleshoot data pipelines

· Perform root cause analysis on data issues

· Maintain documentation of the data architecture and ETL processes

· Maintaining existing applications by updating existing code or adding new features to meet new requirements

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Identifying opportunities to improve performance by improving database structure or indexing methods

· Designing and implementing security measures to protect data from unauthorized access or misuse

· Recommending infrastructure changes to improve capacity or performance

Key Responsibilities:

• Facilitate Learning by setting up the KRA for his/her team: Create a supportive and engaging key result area where the team members are aligned towards their work daily. Foster a sense of community and collaboration among learners.

• Monitor Progress: Tracking the learners' progress and performance, identifying areas where they may need additional support or intervention. Keep detailed records of the team and understand the improvement that needs to be accomplished.

• Communicate Effectively: Maintain regular communication with the team members through various channels such as email, chat, or meetings. Provide timely updates, reminders, and feedback to keep the team informed and motivated towards their work.

• Collaborate with Team: Work collaboratively with the team to provide a learning experience for learners. Share insights, best practices, and resources to support continuous improvement.

• Escalation Handling: The ideal candidate will be responsible for handling the escalations that come up to them proficiently. Managing the blockers will be the sole responsibility of the candidate.

• Project Handling: The ideal candidate will be responsible for handling the projects that will be given to them and they also need to be proactive in taking up new projects and completing them within deadlines.

• Stakeholder Management: The ideal candidate will be responsible for maintaining good relations with the internal stakeholders for the team and the occurring requirements. Reporting to the operations lead and the co-founder to understand the requirements will also be the responsibility of the lead.

• Analytical skills: Maintaining data-driven records of the team and implementing them along with data presentation will also be the prior skill that the candidate should have. 

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! https://www.happyfox.com/

We’re looking for a Senior Backend Engineer to join our engineering team to help build and maintain our growing list of products. You should have prior experience being responsible for building sufficiently complex features by yourself.

Responsibilities: 

• Implement product features by writing clean, robust, reusable code with tests
• Conduct peer reviews to keep the codebase a great environment to work on
• Collaborate with Product Managers, Designers and Engineers to deliver high-quality features
• Bring new ideas and best practices to improve the team and the codebase

Requirements:

• 5+ years of professional work experience
• Proficiency in backend programming languages like Python
• Experience working with web application frameworks like Django
• Experience in building web services using relational databases like PostgreSQL or NoSQL databases like MongoDB
• Proficiency in writing highly performant and scalable code
• Experience in building REST APIs and a good understanding of best practices around building APIs
• Good communication skills with an ability to articulate your views
• Excellent analytical and problem-solving skills