Data Engineering Developer
financial
DataEngineeringDeveloper-AssistantManager
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineering Developer - Assistant Manager at Data Engineering Developer. Skills: Data Engineering, Cloud Data Solutions, Data Pipelines, Lakehouse Architectures, Distributed Processing, Azure, Snowflake, Databricks, Agile Methodologies, Technical Leadership. Lead the design, development, and delivery of complex UI applications using ReactJS and modern frontend technologies. Define and enforce frontend architecture, design patterns, and coding standards”
What You'll Achieve.
enable advanced analytics in the financial domain; ensure reliability, scalability, and cost efficiency; deliver impactful, data-driven business solutions; improve development productivity and code quality; on-time, high-quality delivery; alignment with overall project and business goals; delivering quality outcomes
Industry & Context.
resolving complex issues; analytical skills; problem-solving skills
adherence to State Street India’s work‑from‑office policy
What They're Looking For.
Must Have
5+ years of experience with a bachelor’s degree in computer science background, understanding of the Software Development Life Cycle (SDLC) with hands‑on experience in Agile methodologies, Ability to analyze business requirements and functional specifications and translate them into effective technical solutions, experience in enterprise data platforms, proven hands-on experience in designing cloud-native data solutions on Azure, expertise in building and optimizing data pipelines, microservices, and containerized applications using modern technologies, Solid understanding of Git features and workflows, Proven ability to coordinate with cross‑regional teams, work independently, and collaborate effectively as part of a global development team, grasp of data structures and algorithms, Ensures adherence to coding standards, best practices, and performance optimization, Excellent communication, analytical, and problem‑solving skills, Demonstrate high levels of dedication, accountability, and commitment toward delivering quality outcomes and supporting team success
Nice to Have
Certifications in cloud and data platforms such as Snowflake, Databricks, or Microsoft Azure, Hands-on exposure to AI tools and platforms, including GitHub Copilot and other AI-assisted development tools, Active participation in technical communities, data engineering forums, or contributions to open-source projects related to data platforms, AI, or cloud technologies
What You'll Do.
and delivery of complex UI applications using ReactJS and modern frontend technologies
Define and enforce frontend architecture
Provide technical leadership and mentorship to UI developers
Oversee UI performance optimization
responsiveness and cross‑browser compatibility
Ensure high code quality through automated testing
unit testing strategies
and adherence to development standards
Identify technical risks and bottlenecks
and take ownership of technical decision‑making
design and implementation of distributed applications
building high-performance data pipelines
lakehouse architectures
distributed processing solutions
platform optimization
driving end-to-end execution
How You'll Work.
Team & Collaboration
Collaborate closely with Product Owners, UX designers, backend teams and business stakeholders; Coordinate with global teams and stakeholders; collaborate effectively as part of a global development team
Communication Scope
Excellent communication skills
Process & Methodology
Agile environment execution, sprint planning participation, backlog grooming participation, reviews participation, retrospectives participation, delivery commitments contribution, technical decision-making ownership
Full Job Description
**Why this role is important to us** We are seeking a Data Services Engineering Lead with extensive experience in designing and implementation of distributed applications to join our innovative development team. This role focuses on building high-performance data pipelines, lakehouse architectures, and distributed processing solutions to enable advanced analytics in the financial domain. The candidate will lead engineering strategy, promote best practices, and leverage AI-assisted development tools to accelerate delivery and innovation. Strong expertise in cloud, data engineering, and platform optimization is critical to ensure reliability, scalability, and cost efficiency. The role requires close collaboration with cross-functional stakeholders to deliver impactful, data-driven business solutions. It also demands strong leadership in managing teams, resolving complex issues, and driving end-to-end execution in an Agile environment. **What you will be responsible for** \- Lead the design, development, and delivery of complex UI applications using ReactJS and modern frontend technologies, ensuring scalability, performance, and maintainability. \- Define and enforce frontend architecture, design patterns, and coding standards, promoting best practices across UI development teams. \- Collaborate closely with Product Owners, UX designers, backend teams and business stakeholders to translate requirements into robust technical solutions. \- Provide technical leadership and mentorship to UI developers, conducting code reviews, design reviews, and guiding the team on ReactJS best practices. \- Drive adoption of modern UI frameworks, component libraries, and tools (e.g., React, MUI, state management, build tools). \- Oversee UI performance optimization, accessibility, responsiveness and cross‑browser compatibility. \- Ensure high code quality through automated testing, unit testing strategies, CI/CD integration, and adherence to development standards. \- Participate in Agile
Applying for this Data Engineering Developer - Assistant Manager role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Data Engineering Developer?
Real rants from real employees. Read before you apply.