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Skills

Amazon Web Services
AngularJS
Banking
Cloud Computing
Data Governance
Data Engineering
DevOps
Financial Services
Frontend Development
Google Cloud Platform
Oracle
PostgreSQL
Python
React.js
SQL
Web Applications

Summary

Overview

We are seeking a Senior Full Stack Data Engineer to design, build, and support data-driven applications, APIs, and automation solutions for a large banking environment. This role combines front-end development, backend engineering, data integration, and cloud technologies to deliver scalable solutions that improve operational efficiency, data accessibility, and business decision-making.

Required Qualifications

7+ years of software engineering, data engineering, or application development experience.
Strong SQL skills and hands-on experience with relational databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
Experience developing modern web applications using React or Angular.
Proficiency in Python and/or R for application development, data processing, and analytics.
Experience building RESTful APIs and system integrations.
Experience developing automation solutions using Python scripting, Power Automate, or similar tools.
Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Strong understanding of software development best practices, testing, and deployment methodologies.
Excellent communication and collaboration skills.

Preferred Qualifications

Experience within banking, financial services, or other regulated industries.
Experience building scalable integrations across internal and external platforms.
Experience with Snowflake and modern cloud data platforms.
Knowledge of data governance and data management tools, including Informatica.

Key Responsibilities

Design, develop, and maintain data-driven applications and services that integrate with banking systems.
Build modern user interfaces, dashboards, reporting tools, and workflow applications using React or Angular.
Develop and maintain backend services, APIs, and integrations to support business and operational processes.
Create and optimize data pipelines that ingest, transform, and harmonize data from multiple sources.
Build automation frameworks and workflow solutions to reduce manual effort and improve operational efficiency.
Develop and optimize SQL-based data models, queries, and reporting solutions.
Leverage cloud technologies to support scalable and secure application development.
Collaborate with product owners, data scientists, DevOps engineers, and QA teams to deliver end-to-end solutions.
Ensure application performance, security, and regulatory compliance within a banking environment.
Provide technical leadership, mentorship, and best-practice guidance to engineering team members.
Support data governance and data management initiatives, including tools such as Informatica.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10426916
Position Id: 9032975
Posted 1 day ago

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Sai Syam

Recruiter @ Hadiamondstar Software Solutions LLC

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Sr. Full Stack Data Engineer

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Sai Syam

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Sr. Full Stack Data Engineer

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