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Responsibilities include:  

• Develop and maintain data validation logic in our proprietary Control Framework tool 
• Actively participate in business requirement elaboration and functional design sessions to develop an understanding of our Operational teams’ analytical needs, key data flows and sources 
• Assist Operational teams in the buildout of Checklists and event monitoring workflows within our Enterprise Control Framework platform 
• Build effective working relationships with Operational users, Reporting and IT development teams and business partners across the organization 
• Conduct interviews, generate user stories, develop scenarios and workflow analyses  
• Contribute to the definition of reporting solutions that empower Operational teams to make immediate decisions as to the best course of action 
• Perform some business user acceptance testing 
• Provide production support and troubleshooting for existing operational dashboards  
• Conduct regular demos and training of new features for the stakeholder community 

Qualifications  

• Bachelor’s degree or equivalent in Business, Accounting, Finance, MIS, Information Technology or related field of study 
• Minimum 5 years’ of SQL required 
• Experience querying data on cloud platforms (AWS/ Azure/ Snowflake) required 
• Exceptional problem solving and analytical skills, attention to detail and organization 
• Able to independently troubleshoot and gather supporting evidence  
• Prior experience developing within a BI reporting tool (e.g. Spotfire, Tableau, Looker, Information Builders) a plus  
• Database Management and ETL development experience a plus 
• Self-motivated, self-assured, and self-managed  
• Able to multi-task to meet time-driven goals  
• Asset management experience, including investment operation a plus 

About the Role:

We are seeking an experienced and driven Lead Backend Engineer to oversee and elevate our backend architecture. This role will focus deeply on backend systems, collaborating closely with the founder and core team to turn strategic goals into reality through backend excellence. The ideal candidate will combine strong technical expertise with leadership capabilities, driving backend development while ensuring system security, scalability, and performance.

Key Responsibilities:

1. Backend Development Leadership

• Ownership of Backend Systems: Lead the backend development process, aligning it with the company's broader goals. Gain a full understanding of the existing backend infrastructure, especially in the initial phase.
• Roadmap Development: Within the first three months, build a detailed roadmap that addresses backend "must-do" tasks (e.g., major bugs, security vulnerabilities, data leakage prevention) alongside longer-term improvements. Continuously update the roadmap based on strategic directions from board meetings.

2. Strategic Planning and Execution

• Backend Strategy Implementation: Translate high-level strategies into backend tasks, ensuring clarity on how each piece fits into the company's larger goals.
• Sprint and Task Management: Lead the backend sprint planning process, break down tasks into manageable components, and ensure accurate estimations for efficient execution.

3. Team Leadership and Development

• Mentoring and Growth: Lead backend developers, nurturing their growth while ensuring a culture of responsibility and continuous improvement.
• Process Optimization: Regularly assess backend processes, identifying areas to streamline development and ensure adherence to best practices.

4. Security and Quality Assurance

• Security Oversight: Ensure the backend systems are fortified against potential threats, setting the highest standards for security in every aspect of development.
• Quality Assurance: Maintain top-tier backend development standards, ensuring the system remains resilient, scalable, and efficient under load.

5. Innovation and Continuous Learning

• Real-time Strategy Input: Offer insights during strategic discussions on backend challenges, providing quick, effective solutions when needed.
• Automation and Efficiency: Implement backend automation practices, from CI/CD pipelines to other efficiency-boosting tools that improve the backend workflow.

6. Research and Communication

• Technology Exploration: Stay ahead of backend trends and technologies, providing research and recommendations to stakeholders. Break down complex backend issues into understandable, actionable points.

7. Workplace Expectations

• Ownership Mentality: Embody a strong sense of ownership over the backend systems, with a proactive attitude that eliminates the need for close follow-up.
• On-site Work: Work from the office is required to foster close collaboration with the team.

Tech Stack & Skills

Must-Have:

• Programming Languages: Node.js & JavaScript (TypeScript or normal)
• Databases: Firestore, MongoDB, NoSQL
• Cloud Platforms: Google Cloud Platform (GCP), AWS
• Microservices: Google Cloud Functions
• Containerization: Docker (creation, hosting, maintenance, etc.)
• Deployment & Orchestration: Google Cloud Run
• Messaging & Task Management: Pub/Sub, Google Cloud Tasks
• Security: GCP/AWS Security (IAMs)

Good-to-Have:

• Programming Languages: Python

Qualifications:

• Proven experience as a Lead Backend Engineer or similar role, focusing on backend systems.
• Expertise in the backend technologies specified.
• Strong understanding of CI/CD pipelines and backend security best practices.
• Excellent problem-solving skills and an ability to think critically about backend challenges.
• Strong leadership qualities with the ability to mentor and manage backend developers.
• A passion for continuous learning and applying new backend technologies.
• A high degree of ownership over backend systems, with the ability to work independently.

Experience: 2-6 Years

Datametica is looking for talented Java engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.

Job Responsibilities:

• 2-6 years, having hands-on experience in coding, usually in a pair programming environment providing solutions to real problems in the Big Data world
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments also understanding the business domain deeply
• Engineers highly scalable, highly available, reliable, secure, and fault-tolerant systems with minimal guidance
• Create platforms, reusable libraries, and utilities wherever applicable
• Continuously refactor applications to ensure high-quality design
• Choose the right technology stack for the product systems/subsystems
• Write high-quality code that are modular, functional, and testable; Establish the best coding practices
• Formally mentor junior engineers on design, coding, and troubleshooting
• Plan projects using agile methodologies and ensure timely delivery
• Communicate, collaborate and work effectively in a global environment

Required Skills:

• Proficient in Core Java technology stack
• Design and implement low latency RESTful services; Define API contracts between services; Expertise in API design and development, experience in dealing with a large dataset
• Should have worked on Spring boot
• Practicing the coding standards (clean code, design patterns, etc)
• Good understanding of branching, build, deployment, continuous integration methodologies
• Ability to make decisions independently
• Strong experience in collections.

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

• You write high quality, maintainable, and robust code, often in Java or C++/C/Python/ROR/C#
• You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognize and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon’s business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

• Bachelors or Masters in Computer Science or relevant technical field.
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
• Proficiency in SQL and data modeling.

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward. 

Top Skills

•    You write high quality, maintainable, and robust code, often in Java or C++.

•    You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

•    You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

•    You solve problems at their root, stepping back to understand the broader context.

•    You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

•    You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

•    You recognize and use design patterns to solve business problems.

•    You understand how operating systems work, perform and scale.

•    You continually align your work with Amazon’s business objectives and seek to deliver business value.

•    You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

•    You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

•    You communicate clearly with your team and with other groups and listen effectively. 

Skills & Experience

•    Bachelors or Masters in Computer Science or relevant technical field.

•    Experience in software development and full product life-cycle.

•    Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

•    Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

•    Proficiency in SQL and data modeling.

As a Software Engineer at Quince, you'll be responsible for designing and building scalable infrastructure and build applications to solve some very interesting problems in the logistics and finance tech space.

Responsibilities:

• Design and architect solutions on the cloud for various business problems with workflow efficiency and scale in mind.
• Be on the forefront with the business team to learn, understand, identify and translate function requirements into technical opportunities.
• End-to-end ownership - from scoping the requirements to the final delivery of the solution with keen eye to details and quality.
• Build and improve logistics components for this innovative M2C supply-chain model.
• Build and maintain scalable ETL data pipelines.

Requirements:

• Bachelors/Masters/PhD in Computer Science or closely related subject.
• 1-5 years of experience in building software solutions.
• Good at data structures and their practical applications.
• Proficiency in Kotlin, Java, Python.
• Experience in deploying and maintaining applications on cloud platforms (Ex: AWS, Google cloud).
• Proficiency with SQL and databases - relational and/or nosql (Snowflakes, AWS RedShift, etc).
• Experience with messaging middleware such as Kafka is good to have.