Key Account Manager

1. GCP - GCS, PubSub, Dataflow or DataProc, Bigquery, BQ optimization, Airflow/Composer, Python(preferred)/Java

2. ETL on GCP Cloud - Build pipelines (Python/Java) + Scripting, Best Practices, Challenges

3. Knowledge of Batch and Streaming data ingestion, build End to Data pipelines on GCP

4. Knowledge of Databases (SQL, NoSQL), On-Premise and On-Cloud, SQL vs No SQL, Types of No-SQL DB (At Least 2 databases)

5. Data Warehouse concepts - Beginner to Intermediate level

6.Data Modeling, GCP Databases, DB Schema(or similar)

7.Hands-on data modelling for OLTP and OLAP systems

8.In-depth knowledge of Conceptual, Logical and Physical data modelling

9.Strong understanding of Indexing, partitioning, data sharding, with practical experience of having done the same

10.Strong understanding of variables impacting database performance for near-real-time reporting and application interaction.

11.Should have working experience on at least one data modelling tool,

preferably DBSchema, Erwin

12Good understanding of GCP databases like AlloyDB, CloudSQL, and

BigQuery.

13.People with functional knowledge of the mutual fund industry will be a plus Should be willing to work from Chennai, office presence is mandatory

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

We’re Hiring: Pre-Sales Engineer 🚀

📍 Location: Navi Mumbai (Vashi) | 5 Days | WFO

🏢 Department: BMS (Building Management System)

What you’ll do:

• Provide technical expertise & support to sales teams
• Handle quotations, vendor coordination & customer solutions
• Ensure smooth order execution & sales growth

What we’re looking for:

✅ Engineering degree (Electrical/Electronics/Mechanical)

✅ 3–5 yrs experience in BMS / HVAC / ELV industry

✅ Strong technical & sales aptitude

✅ Excellent communication & teamwork skills

💼 Knowledge of PLC/DDC is a plus!

At Incruiter, we are building a next-generation SaaS platform that transforms how companies hire talent. As a QA Engineer – Manual Testing, you will take ownership of ensuring the reliability, functionality, and user experience of our product. This is an opportunity to be a quality champion and set up scalable QA practices in a fast- paced startup environment.

EXCITED ABOUT YOUR TASKS?

● Lead the manual testing efforts for Incruiter’s SaaS applications (web)

● Design, document, and execute comprehensive test plans, cases, and scenarios.

● Perform functional, regression, integration, system, and UAT testing to ensure high-quality releases.

● Use Postman to validate and test APIs. Identify, log, and track bugs to closure using tools like Jira, TestRail, and Bugzilla.

● Collaborate with Product Managers, Developers, and Business Teams to ensure clear understanding of requirements.

● Prepare and maintain QA documentation (test reports, defect analysis, test strategies).

● Mentor and guide junior QA members, ensuring adherence to best practices.

● Own the QA sign-off process before each release.

WHAT WILL YOU NEED TO SUCCEED?

● 2+ years of strong hands-on experience in manual testing (SaaS/product- based environment preferred).

● Proven expertise in testing web applications, APIs, and mobile applications.

● Strong knowledge of SDLC, STLC, and defect lifecycle.

● Proficiency in using Postman for API testing.

● Good to have Hands-on experience with Jira, TestRail, and Bugzilla.

● Strong attention to detail, analytical skills, and problem-solving ability.

● Excellent communication skills to work effectively across teams.

Responsibilities

• Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development, and delivery of tested code and machine learning models into production environments
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data-driven solutions

Eligibility

• Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
• Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
• In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
• Expertise in writing scalable APIs for machine learning models
• Experience with maintaining code logs, task schedulers, and security
• Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
• Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

• Collection creation, access method tuning, sharding implementation, index creation, and debugging query execution to obtain top database performance.
• Execute DB upgrades on time
• Configuration of MongoDB instances, Schema and MongoDB modelling
• Table design, index utilisation, design indexing strategies , query plan analysis and Optimise performance issues
• Comprehend and translate business requirements into technical specifications and build elegant, efficient, and scalable solutions based on specifications
• Implement appropriate indexes (B-Tree, Geospatial, Text) for performance improvement
• Implement Mongo Management Service for automating a variety of tasks, including backup/recovery and performance management
• Recommend and implement best practices for Rest API integration framework/model
• Develop MongoDB and API prototypes and proofs of concept
• Implement optimal backup and recovery and assist developers in detecting performance problems using MMS and Mongo Profiler
• Work closely with the development teams to implement new features and enhancements and the maintenance and support of existing applications in production
• Automate routine DB operations with scripting
• Configure, monitor, and deploy replica sets and upgrade databases through patches
• Keep clear documentation of the database setup and architecture and plan procedures for backup in case of a data loss
• Ensure that the databases achieve maximum performance and availability
• Create roles and users and set their permissions and mentor staff on MongoDB best practices
• Write procedures for backup and disaster recovery

Responsibilities

• Use your skills in OOP, OOAD, and testing to design and develop robust and scalable software.
• Work in a fast-paced environment with a focus on writing production-quality code and tests.
• Maintain minimal yet essential engineering documentation to complement the product.
• Collaborate with engineers and product teams as part of Agile delivery.
• Participate in code reviews and release cycles with an ownership attitude.

Requirements

• Strong at problem-solving using Java 8 and above.
• General understanding of SDLC using agile methodologies iterative development.
• Basic skills in HTML, CSS, and JavaScript are desired.
• Hands-on knowledge of using Spring Boot or Quarkus for building Microservices or API driven solutions.
• Knowledge of SQL and experience in using any RDBMS like MySQL, PostgreSQL.
• Understanding or exposure to Cloud-Native development using AWS is an added advantage.

• Coordinate with global hiring managers to identify staffing needs
• Determine selection criteria
• Source potential candidates through online channels (e.g. social platforms and professional networks)
• Plan interview and selection procedures, including screening calls, assessments, and in-person interviews
• Assess candidate information, including resumes and contact details, using our Applicant Tracking System
• Design job descriptions and interview questions that reflect each position’s requirements
• Lead employer branding initiatives
• Organize and attend job fairs and recruitment events
• Forecast quarterly and annual hiring needs by department
• Foster long-term relationships with past applicants and potential candidates

Who we have in mind: 

• Proven work experience as a Talent Acquisition Specialist or similar role
• Familiarity with social media, resume databases, and professional networks (e.g. LinkedIn, https://resources.workable.com/tutorial/post-a-job-on-stackoverflow">Stack Overflow, and Github)
• Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods
• Knowledge of Applicant Tracking Systems (ATSs)
• Excellent verbal and written communication skills
• A keen understanding of the differences between various roles within organizations

Education: Must have a bachelor’s / Master’s degree in Management preferably in Human Resources, Business, or any other related field from a premier institute.

Experience: A candidate for the position will demonstrate a minimum of 4 years of relevant working experience in the IT industry.

Communication Skills: The position demands constant interactions with employees, management, and stakeholders and, therefore, excellent communication skills are an absolute necessity.

Computer Knowledge: A candidate for this position must be proficient in the use of MS Word, Excel, and PowerPoint, all necessary for the creation of not only visually but verbally engaging materials, reports, presentations, and proposals for departmental heads and management, stakeholders.

Interpersonal Skills:

• He should also possess good
• Verbal and non-verbal communication.
• Listening skills.
• Assertiveness.