Bulk hiring for Energy Sales Process

Job Title: Node.js Developer

Company Overview:

Join Code B, a leading software development company specializing in tailored solutions for businesses worldwide. We're seeking a skilled Node.js Developer to join our dynamic team and contribute to the development of innovative software solutions.

Position Overview:

As a Node.js Developer at Code B, you will be responsible for designing, developing, and maintaining server-side applications using Node.js. You will collaborate with cross-functional teams to deliver high-quality software solutions that meet client requirements.

Responsibilities:

• Designing and implementing scalable and efficient server-side applications using Node.js
• Developing RESTful APIs to support front-end applications
• Collaborating with front-end developers to integrate user-facing elements with server-side logic
• Writing reusable, testable, and efficient code
• Troubleshooting and debugging issues to ensure smooth application performance
• Staying updated on emerging technologies and best practices in Node.js development

Requirements:

• Proficiency in Node.js and JavaScript
• Strong understanding of asynchronous programming and event-driven architecture
• Experience with Express.js or other Node.js frameworks
• Knowledge of MongoDB or other NoSQL databases
• Familiarity with version control systems such as Git
• Excellent problem-solving and communication skills
• Bachelor's degree in Computer Science, Engineering, or a related field (preferred)
• Prior experience in Agile/Scrum development methodologies (preferred)

Benefits:

• Competitive salary based on experience and skills
• Opportunity to work on challenging and innovative projects
• Collaborative and supportive work environment
• Professional development opportunities and training programs
• Health insurance, retirement plans, and other benefits package

Join Code B and be part of a team that is passionate about delivering excellence in software development. Apply now and take your career to the next level!

Responsibilities

This role requires a person to support business charters & accompanying products by aligning with the Analytics

Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.

70% management + 30% individual contributor. Responsibilities include

Project Management

- Understand business needs and objectives.

- Refine use cases and plan iterations and deliverables - able to pivot as required.

- Estimate efforts and conduct regular task updates to ensure timeline adherence.

- Set and manage stakeholder expectations as required

Quality Execution

- Help BA and SBA resources with requirement gathering and final presentations.

- Resolve blockers regarding technical challenges and decision-making.

- Check final deliverables for correctness and review codes, along with Manager.

KPIs and metrics

- Orchestrate metrics building, maintenance, and performance monitoring.

- Owns and manages data models, data sources, and data definition repo.

- Makes low-level design choices during execution.

Team Nurturing

- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.

- Provide technical guidance whenever required.

- Improve benchmarking and decision-making skills at execution-level.

- Train and get new resources up-to-speed.

- Knowledge building (methodologies) to better position the team for complex problems.

Communication

- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.

- Downstream and parallel for context-building, mentoring, stakeholder management.

Analytics Stack

- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks

- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

- Warehouse : Amazon Redshift

- ETL : Lots of Python + custom-made

- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)

- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda

Role Overview 

As a Senior Backend Engineer, you will be working closely with our core team in building products from  scratch into large-scale platforms and solving business problems leveraging new and innovative  technology. More than anything, we are looking for engineers that are eager to learn and build a  meaningful company. We are a small team and encourage engineers to wear many hats 

Responsibilities  

• Design and build highly reliable and performant applications that deliver a great user experience.
• Own large technical deliverables and execute in a structured manner.
• Take the accountability of the overall health of the applications you build.
• Platformize components as libraries, utilities and promote reuse.
• Be able to conceptualize and develop prototypes quickly

Skills & Requirements

      ▪ Work Experience between 2 to 6  years in large scale applications with desire to work  in fast paced startups  

▪ Experience/Knowledge of Node.JS, Express .JS, AWS, MongoDB.

      Deep understanding of your tools: Languages, frameworks, systems.

• 2-5 years relevant work experience in building multiple users software solutions
• 1-2 years hands on experience building cloud based web and mobile applications
• JavaScript, React, NodeJS, structured and unstructured store
• Strong Front End or Back end experience
• Hands on experience building Restful APIs
• Hands on experience building microservices based applications
• Understanding of DevOps / DevSecOps processes and related tools including, but not limited to, IaC (Terraform, CloudFormation), config management (Chef, Puppet), Git / Bitbucket, or Jenkins, etc.
• Hands on experience with multiple frontend or backend technologies (either) / frameworks / platforms supporting web and mobile applications – Such as: NodeJS, Python, Django, Flask, PHP, Laravel, jQuery, Bootstrap, Angular, Vue.js, ReactJS, Bootstrap, React-Native, Flutter, iOS SDK, or similar.
• Hands-on end to end experience of multiple application development frameworks, monitoring tools, and deployment methodologies
• Experience building and deploying with container technologies such as Docker and Kubernetes and leveraging them throughout the CICD process
• Understanding of practices regarding system security measures

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint