Data Engineer Data and Generative AI
- Advisor360°
- 4 - 7 years
- Bengaluru
- 9 days ago
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Job Description
At Advisor360?, we build technology that transforms how wealth management firms operate, scale, and serve their clientsAs a leading SaaS platform in the fintech space, were trusted by some of the largest independent broker-dealers and RIAs to power the full advisor and client experience?from portfolio construction and reporting to compliance and client engagement
What sets us apartIt's not just the tech (though it's best-in-class)
It's the people, the purpose, and the passion behind everything we do
Were a team of builders, thinkers, and doers who believe that great companies are defined by the stories they tell and the experiences they create?internally and externally
We bring deep industry expertise, a collaborative spirit, and a commitment to innovation as we reshape whats possible in wealth management
As we grow, were looking for teammates who are ready to roll up their sleeves, think big, and help elevate our brand in a way that reflects the bold ambitions we have for our company and the clients we serve
Join us, and be part of a company that's not only moving fast?but making it count
We hire people with all kinds of awesome experiences, backgrounds, and perspectives
We like it that way
So even if you dont meet every single requirement, please consider applying if you like what you see
Key Responsibilities
Acts as a technical leader by making significant technical contributions to the planning and implementation of midto large-scale projects from conception to completion
Demonstrates versatility of knowledge and applies strong technical skill sets to architect and implement cloud-based data solutions
Validates requirements, performs business and technical analysis, designs cloud-native applications, writes optimized PySpark-based data pipelines, and contributes to end-to-end application development
Ensures compliance with coding standards and best practices for AI-assisted code generation, suggesting opportunities for improvement
Utilizes GenAI tools like Cursor, Claude, and other LLMs to decompose complex requirements and auto-generate UI, API, and database scripts for rapid development
Acquires and utilizes strong technical and application knowledge to introduce and forecast the impact of new software design patterns, AI-driven development workflows, and emerging cloud technologies
Shares information and expertise to improve team productivity and empower engineers with AI-driven automation
Acts as a subject matter expert (SME) within the organization, helping resolve complex technical issues related to cloud data engineering, distributed computing, and microservices architecture
Mentors team members and fosters collaborative learning environments, particularly in areas related to GenAI, Azure, PySpark, Databricks, and CI/CD automation
Leads multiple projects within the team, ensuring seamless integration of AI-driven development into software delivery pipelines
Preferred Strengths
Proficiency in GenAI-powered development, leveraging AI tools for code completion, optimization, and automated unit testing
Strong experience with SQL, relational databases, and GIT, including building and release definitions within a CI/CD environment
Expertise in Microsoft Azure cloud services, including Azure Data Factory, Azure Functions, and Azure Databricks
Familiarity with serverless architectures, containerization (Docker/Kubernetes), and big data frameworks like Apache Spark
Requirements, Skills, And Knowledge
7+ years of software engineering experience building enterprise applications using Python, Dot Net
Proven ability to analyze, decompose, and automate requirement-based development using GenAI
Strong experience in building and deploying cloud-based data processing applications using PySpark and Azure Databricks
Hands-on expertise in automating and optimizing cloud infrastructure using Terraform, Bicep, or ARM templates
Experience implementing business-critical database applications, REST microservices, and real-time event-driven architectures using Kafka, Orkes, and Databricks
Deep knowledge of SDLC methodologies (Agile, DevOps) and experience leading technical implementations from architecture to production deployment
Proficiency in coding standards, code reviews, source control management, build processes, testing, and operations
Experience integrating AI-based automation for improving code quality, predictive analytics, and data-driven decision-making
While Wealth Management domain experience is a plus, it is not mandatory
Candidates should be willing to learn/master the domain through on-the-job experience
Its not just about work?its about building a career and enjoying the ride! Heres what you can expect: Why Youll Love Working With Us:
We believe in recognizing and rewarding performance
Our compensation package includes competitive base salaries, annual performance-based bonuses, and the chance to share in the equity value you and your colleagues create during your time with the company
We offer comprehensive health benefits, including dental, life, and disability insurance
We also trust our employees to manage their time effectively, which is why we offer an unlimited paid time off program to help you perform at your best every day
Join us on this journey
Advisor360? is an equal opportunity employer committed to a diverse workforce
We believe diversity drives innovation and are therefore building a company where people of all backgrounds are truly welcome and included
Everyone is encouraged to bring their unique, authentic selves to work each and every day
The way we see it, we are here to learn from each other
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full timeContact Details:
Company: Advisor360Location(s): Bengaluru+ View Contact
Keyskills: microsoft azure services git coding standards code review relational databases automatingsdlc process
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Leverage our SaaS WealthTech platform to increase productivity and revenue, streamline operations, and reduce costsand regulatory risk.
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