Infinium Associate

We are looking for a talented MERN Developer with expertise in MongoDB/MySQL, Kubernetes, Python, ETL, Hadoop, and Spark. The ideal candidate will design, develop, and optimize scalable applications while ensuring efficient source code management and implementing Non-Functional Requirements (NFRs).

Key Responsibilities:

• Develop and maintain robust applications using MERN Stack (MongoDB, Express.js, React.js, Node.js).
• Design efficient database architectures (MongoDB/MySQL) for scalable data handling.
• Implement and manage Kubernetes-based deployment strategies for containerized applications.
• Ensure compliance with Non-Functional Requirements (NFRs), including source code management, development tools, and security best practices.
• Develop and integrate Python-based functionalities for data processing and automation.
• Work with ETL pipelines for smooth data transformations.
• Leverage Hadoop and Spark for processing and optimizing large-scale data operations.
• Collaborate with solution architects, DevOps teams, and data engineers to enhance system performance.
• Conduct code reviews, troubleshooting, and performance optimization to ensure seamless application functionality.

Required Skills & Qualifications:

• Proficiency in MERN Stack (MongoDB, Express.js, React.js, Node.js).
• Strong understanding of database technologies (MongoDB/MySQL).
• Experience working with Kubernetes for container orchestration.
• Hands-on knowledge of Non-Functional Requirements (NFRs) in application development.
• Expertise in Python, ETL pipelines, and big data technologies (Hadoop, Spark).
• Strong problem-solving and debugging skills.
• Knowledge of microservices architecture and cloud computing frameworks.

Preferred Qualifications:

• Certifications in cloud computing, Kubernetes, or database management.
• Experience in DevOps, CI/CD automation, and infrastructure management.
• Understanding of security best practices in application development.

Solution Architecture /Pre-Sales / System Integration + Network Architecture + Cloud + LLD deisgn

• Solution Architecture: Design end-to-end scalable and secure systems.
• Stakeholder Collaboration: Gather requirements and translate business needs into technical solutions.
• Technology Evaluation: Recommend tools, frameworks, and platforms.
• Pre-sales & RFPs: Assist in technical presentations, client interactions, and proposal drafting.
• Technical Documentation: Create Low-Level Designs (LLDs) and maintain solution blueprints.

Required Skills:

• Telecom Messaging & Network Architecture (3GPP, 5G SMSF, Diameter, SIP).
• Cloud Platforms (AWS, Azure, GCP), microservices, DevOps, APIs.
• Frontend & Backend Technologies for full-stack solution design.
• Strong Communication—Clear documentation and presentations for stakeholders.

This role demands expertise in telecom messaging technologies, solution architecture, and stakeholder management, with exposure to large-scale, complex projects.

About the Role:

We are seeking a talented Lead Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.

Responsible for the matrix management of project teams and the oversight of designing and implementing complex technology projects, primarily related to Real Estate development, End User, and Network projects. This involves delivering projects across all disciplines, collaborating closely across regions and multiple Technology workstreams and LOB (line of business), while engaging with senior managers and stakeholders within the organization.

7+ years’ experience with projects in multiple technologies & functions

• Extensive experience in managing projects through all phases of the life cycle and expert working knowledge of an industry recognized Project Management methodology

• Strong knowledge of industry standard project management tools for financial and project reporting (Clarity, Service Now, Microsoft Project)

• Formal project management training and discipline knowledge required

• Knowledge of technologies, systems, drivers and trends in global investment banking environments backed by a solid understanding of the banking industry fundamentals

• Awareness of Agile Project Management techniques would be beneficial.

• An understanding of line of business technology drivers

• Knowledge and understanding of banking regulatory, compliance, risk and security aspects

• Proven experience managing geographically distributed and culturally diverse work groups

• Knowledge of Permit to Build and Permit to Operate

• Extensive experience with multi-million-dollar projects with high complexity and client focus.

• Proven experience at delivering high quality projects on time & within budget

• Extensive experience at presenting metrics to key stakeholders

• Excellent oral and written communication skills across functions and teams, up and down the chain of command

• Listening and gathering customer/user inputs. Simplifying complex topics for non-technical audiences and preparing quick pointed summaries for executives and stakeholders.

• Ability to motivate Project teams

• Strong leadership & good analytical skills

Strong stakeholder management & customer focus

•

Strong knowledge of IT environment and working with external Service

Technical Skills

• Track record of delivering technology Real Estate / Network type Projects

• Management and escalation of underlying project Risks /Issue/ Change

About the Role:

We are seeking a talented Lead Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

 Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.

A bilingual infrastructure engineer typically handles the design, implementation, and maintenance of IT infrastructure, including networks, servers, and storage systems. They are expected to have expertise in technologies like Linux, Windows, virtualization platforms, and scripting languages, along with strong communication skills in multiple languages. Responsibilities often include:

Monitoring and maintaining network and server operations.

Providing technical support for hardware and software systems.

Designing scalable and secure infrastructure solutions.

Collaborating with teams to ensure system reliability and efficiency.

Implementing disaster recovery and backup plans.

For bilingual roles, fluency in languages like English and Japanese is often required to facilitate communication across diverse teams and clients.

.Net core(3.1, 5, 6), ASP.net, SQL, Microservices, Angular – ( version 6/7 ), Majorly on Angular 8.

• Minimum 2 Years of experience on Angular (Version 6 OR above), .Net Core and SQL and these skills must be mentioned in project details on CV.

A Tech. Lead needs to conduct the following responsibilities at work -

1. Billability of at least 34 hrs per week (Util Target). Resource needs to ensure that assigned hours are utilized on each project.
2. Perform thorough analysis.

A Tech. Lead must discuss the approach with TM or an onshore TA and finalize the ETAs.

1. Develop high-quality scalable code.
2. Ensure DevOps processes is followed across the team.
3. Facilitate proactive communication with project/product teams.
4. Facilitate learning & development for self and the team.
5. Exhibit good interpersonal skills by being a team player, staying approachable, and being collaborative.
6. Obtain and maintain certifications related to Salesforce, nCino, vlocity, Mulesoft, Marketing Cloud.

Good to have:

Apex, Lightning Aura, Lightning Web Components, Salesforce Integration

Mandatory skill requirement:

1. Salesforce Configuration and Customization experience
2. Hands on Experience in Vlocity FlexCards, Omniscripts, dataraptors
3. Experience in Vlocity Health/Insurance domain

NodeJS with React Developmet

Responsibilities

1. Writing scalable, robust, testable, efficient, and easily maintainable code
2. Translating software requirements into stable, working, high performance software
3. Write high quality technical specifications.

What we are looking for:

• Primary Skill: NodeJS React JS
• Secondary Skill: MongoDB (Experience with Redis is a plus). and other front-end

languages and libraries (e.g., HTML/ CSS, JavaScript, XML, jQuery)