Corporate Sales Manager

Responsibility of / Expectations from the Role

Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.

Profound experience in designing and developing data integration solutions using ETL tools such as DBT.

        Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory

Solid MS SQL Server skills including reporting experience.

Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.

Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.

Ensuring root cause resolution to identified problems.

Monitor and support the Data Solutions jobs and processes to meet the daily SLA.

Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.

Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.

Follow best practices and standards around data governance, security and privacy.

Comfortable working in a fast-paced team environment coordinating multiple projects.

Effective software development life cycle management skills and experience with GitHub

Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.

Data transformation and Data Analytics Documentation

• Strong B2B Product Manager Profiles
• Mandatory (Experience 1) - Must have 4+ years of experience with 2+ years as a Product Manager
• Mandatory (Experience 2) - Must have experience working in early-stage products (with early stage startups or in big startups/companies driving 0-to-1 product development and building MVPs)
• Mandatory (Experience 3) - Must have hands-on experience in writing PRDs, BRDs, user stories, and maintaining product documentation for cross-functional teams.
• Mandatory (Company) - Product companies only (B2B preferred)

Preferred

• Preferred (Experience) – Prior experience as a developer or tech role is a plus

Salesforce Developer

Location : ONSITE

LOCATION : MUMBAI AND BANGALORE

Resources should have banking domain experience.

1. Salesforce development Engineer (1 - 3 Years) 

2. Salesforce development Engineer (3 - 5 Years) 

3. Salesforce development Engineer (5 - 8 Years) 

Job description. 

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Technical Skills:

Strong hands-on frontend development using JavaScript and LWC

Expertise in backend development using Apex, Flows, Async Apex

Understanding of Database concepts: SOQL, SOSL and SQL

Hands-on experience in API integration using SOAP, REST API, graphql

Experience with ETL tools , Data migration, and Data governance

Experience with Apex Design Patterns, Integration Patterns and Apex testing framework

Follow agile, iterative execution model using CI-CD tools like Azure Devops, gitlab, bitbucket 

Should have worked with at least one programming language - Java, python, c++ and have good understanding of data structures

Preferred qualifications

Graduate degree in engineering

Experience developing with India stack

Experience in fintech or banking domain

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 Skill details. 

1. Salesforce Fundamentals

Strong understanding of Salesforce core architecture

Objects (Standard vs Custom)

Fields, relationships (Lookup, Master-Detail)

Data model basics and record lifecycle

Awareness of declarative vs programmatic capabilities and when to use each

2. Salesforce Security Model

End-to-end understanding of Salesforce security layers, especially:

Record visibility when a record is created

Org-Wide Defaults (OWD) and their impact

Role Hierarchy and how it enables upward data access

Difference between Profiles, Permission Sets, and Sharing Rules

Ability to explain how Salesforce ensures that records are not visible to unauthorized users by default and how access is extended

3. Apex Triggers

Clear distinction between:

Before Triggers (before insert, before update)

Use cases such as validation and field updates

After Triggers (after insert, after update)

Use cases such as related record updates or integrations

Understanding of trigger context variables and best practices (bulkification, avoiding recursion)

4. Platform Events / Event-Driven Architecture

Knowledge of Platform Events and their use in decoupled, event-driven solutions

Understanding of real-time or near real-time notification use cases (e.g., UI alerts, pop-up style notifications)

Ability to position Platform Events versus alternatives (Streaming API, Change Data Capture)

5. Lightning Data Access (Wire Method)

Understanding of the @wire mechanism in Lightning Web Components (LWC)

Discussion point:

Whether records (e.g., AppX records) can be updated using the wire method

Awareness that @wire is primarily read/reactive and updates typically require imperative Apex calls

Clear articulation of reactive vs imperative data handling

6. Integrations Experience

Ability to articulate hands-on integration experience, including:

REST/SOAP API integrations

Inbound vs outbound integrations

Authentication mechanisms (OAuth, Named Credentials)

Use of Apex callouts, Platform Events, or middleware

Clarity on integration patterns and error handling approaches

We’re Hiring – Frontend Developer (3.js)

Location: Chennai

Experience: 0–1 Years

At Hexr Factory, we are always exploring the possibilities to bridge the physical and digital worlds. We design and build Metaverse and Digital Twin technologies for the future of industry and entertainment.

We are looking for a Frontend Developer (3.js) to join our team in Chennai. The role involves designing, building, and configuring applications to meet business and application requirements using React Three Fiber, JavaScript, HTML5, CSS, TypeScript, and ES6.

The ideal candidate will have experience working with Three.js, WebGL, and Canvas/CSS animations, along with knowledge of browser-based 3D rendering and 3D graphics. You should be comfortable collaborating with the design team to implement a clean, elegant user experience and be capable of building scalable, high-performance web applications.

Qualifications:

Bachelor’s or Master’s degree in Mathematics, Commerce, Computer Science, Electronics, Electrical, or Mechanical Engineering with a consistent high academic track record.

0–1 years of relevant experience.

Skills Required:

Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.

Experience using TypeScript to develop UI components with React and Angular.

Knowledge of 3D technologies such as WebGL and Three.js.

Basic understanding of 3D mathematics.

Familiarity with REST/JSON and Git.

Passion for new technology and innovation.

Ability to write clean, maintainable code.

Excellent verbal and written communication skills.

If you are passionate about technology, eager to learn, and excited about working on 3D applications and digital innovation, we’d love to hear from you.

Senior Data Engineer

Location: Bangalore, Gurugram (Hybrid)

Experience: 4-8 Years

Type: Full Time | Permanent

Job Summary:

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You’ll be responsible for building scalable ETL/ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities:

PostgreSQL & Data Modeling

· Design and optimize complex SQL queries, stored procedures, and indexes

· Perform performance tuning and query plan analysis

· Contribute to schema design and data normalization

Data Migration & Transformation

· Migrate data from multiple sources to cloud or ODS platforms

· Design schema mapping and implement transformation logic

· Ensure consistency, integrity, and accuracy in migrated data

Python Scripting for Data Engineering

· Build automation scripts for data ingestion, cleansing, and transformation

· Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)

· Maintain reusable script modules for operational pipelines

Data Orchestration with Apache Airflow

· Develop and manage DAGs for batch/stream workflows

· Implement retries, task dependencies, notifications, and failure handling

· Integrate Airflow with cloud services, data lakes, and data warehouses

Cloud Platforms (AWS / Azure / GCP)

· Manage data storage (S3, GCS, Blob), compute services, and data pipelines

· Set up permissions, IAM roles, encryption, and logging for security

· Monitor and optimize cost and performance of cloud-based data operations

Data Marts & Analytics Layer

· Design and manage data marts using dimensional models

· Build star/snowflake schemas to support BI and self-serve analytics

· Enable incremental load strategies and partitioning

Modern Data Stack Integration

· Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka

· Support modular pipeline design and metadata-driven frameworks

· Ensure high availability and scalability of the stack

BI & Reporting Tools (Power BI / Superset / Supertech)

· Collaborate with BI teams to design datasets and optimize queries

· Support development of dashboards and reporting layers

· Manage access, data refreshes, and performance for BI tools

Required Skills & Qualifications:

· 4–6 years of hands-on experience in data engineering roles

· Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)

· Advanced Python scripting skills for automation and ETL

· Proven experience with Apache Airflow (custom DAGs, error handling)

· Solid understanding of cloud architecture (especially AWS)

· Experience with data marts and dimensional data modeling

· Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)

· Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI

· Version control (Git) and CI/CD pipeline knowledge is a plus

· Excellent problem-solving and communication skills

Position Requirements

• Expert in front-end development using Javascript, CSS, and Java.

• Hands-on experience in Java, J2EE, Hibernate, Springboot.

• Deep knowledge & working experience with Database, JSP, Javascript frameworks.

Technical Skills

• 4 years of experience in the software industry experience.

• Strong self-initiative to strive for both personal & technical excellence.

• Coordinate efforts across the Product development team and Business Analyst team.

• Strong business and data analysis skills.

• Should be strong on coordinating with onshore resources on the development.

About the Role

Dremio’s user experience is one of its  key differentiators and makes all your data easily accessible and shareable by your data consumers. UI Engineers at Dremio are responsible for the development of  the user interface and user experience on Dremio’s Data Lake Engine.

Responsibilities and ownership

• Own the  full cycle of development of our modern single page web application from inception, design, development, testing, and production.
• Care deeply about modular design patterns and frameworks  to deliver an architecture that’s rooted in simplicity, that’s easy to iterate on and constantly evolve.
• Passionate about ease of use, experience and quality of the product.

Requirements

• 5+ years of experience working with JavaScript frameworks such as React, Angular.js, Angular, or Vue.js.
• 2 years minimum experience with React is highly preferred and currently utilizing React in their current job.
• Strong coding experience in JavaScript (or TypeScript), HTML, and CSS.
• Passion about UI development and UX design
• Shown proven success in delivering high-quality front end applications
• Fluency in the understanding of SQL and databases (relational or non-relational)
• B.S. or M.S  in Computer Science in a relevant technical field or equivalent professional experience