BetaNXT

The Company

BetaNXT is the next wave in wealth management technology and outsourcing solutions. We focused on solving our customers most demanding integration challenges with flexible, efficient, connected solutions. Our products reduce enterprise cost, streamline operation processes, increase advisor productivity, and enhances the investor experience. Together with BetaNXT, wealth management firms are transforming their platforms into differentiating assets that enable scale and commercial growth.

But we're not just invested in our customers; we're also invested in people. We know that our overall success is a combined effort, and we therefore strive to provide opportunities for our employees to learn, grow and thrive.

The Opportunity

BETA is a self-clearing securities processing solution for wealth management firms. Built on years of expert knowledge and hands-on experience, BETA provides critical back-office controls including corporate action management, middle office exception management, and front office account management and trading tools for advisors.

We are seeking a Specialist, Data Exchange team with hands-on experience in production-level, cloud-hosted data-as-a-service application that is running on top of Snowflake. In this role, you will primarily work on data warehousing- involving data modeling, ETL, and reverse ETL processes including hands on in Data Build Tool (DBT) or any such build tools. You are required to be hands-on in Snowflake, DBT, and Terraform IaC deployments. Awareness and basic knowledge of the latest data delivery tools like Kafka, Airflow, Kinesis etc will be an added advantage. On any given day, you might be architecting data ingestion and warehousing solutions and delivering data to our customers or internal applications through queries and functions. You will follow best practices in code and design, secure coding practices, and review data architecture, modeling, and queries from development through to completion in a live production environment.

About The Team

Reporting to the Manager, Technology Development, this role is part of a Scrum team for developing product(s) within the Data Exchange team. The role will be involved with developing customer facing cloud hosted data as service products. This role necessitates meetings and require heavy collaboration within and across many teams. Our business model is hybrid, working from our Bangalore campus.

What You'll Do

Architect and implement data ingestion and warehousing solutions.
Hand-on day to day work in Snowflake, DBT.
Develop and maintain data models, ETL, and reverse ETL processes.
Write and optimize SQL queries, functions, and stored procedures.
Ensure best practices in code and design, including secure coding practices.
Review and improve data architecture, modeling, and queries.
Deliver data solutions to customers and internal applications.
Collaborate with cross-functional teams to meet project goals. Design, develop, and maintain streaming data pipelines using Apache Kafka, with Confluent Cloud as the preferred platform for near real time data processing.

Your Experience

Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent.
8 to 10 years of professional experience in a data-related software engineering role.
Hands-on experience with coding, analytical, and data querying knowledge.
Experience with all phases of the software development life cycle and Agile software development.
Solid design knowledge to create extensible, reusable data deliveries that meet architectural objectives and security assessments.
Willingness to learn new technologies and quickly get up to speed.
Ability to work autonomously and in teams.
Excitement for new technologies and challenges of scale.
Proficiency in:

Data Build Tool (DBT) or any analogous tool
Data warehousing, including data modeling, ETL, and reverse ETL
SQL queries, functions, and stored procedures
Various data delivery methodologies (files, streams, APIs)

Working experience with Kafka concepts and components, including:
Topics, partitions, offsets, and consumer groups
Producers and consumers
Schema evolution using Schema Registry (Avro/JSON/Protobuf)
Understanding of data-related application SDKs
Good Hands-on with AWS Services that are required for data translation.

Preferred Qualifications

Familiarity with Infrastructure as Code (IAC) tools like Terraform.
Knowledge of programming languages such as Python and PowerShell.

As a global business, we rely on diversity of culture and thought to deliver on our goals. Therefore we seek talented, qualified employees in all our operations around the world−regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law.

Specialist, Product Engineering