Sales

ABOUT UNRAVEL CARBON

Unravel Carbon enables companies to assess their carbon footprint by tracking their digital financial footprint with its proprietary carbon emission factor model; making it easy, fast and convenient to become climate positive.

We aim to accelerate the participation of all companies, big and small, in the global fight against climate change. And we want to do it the 21st century way—autonomous, painless, and beautiful.

Unravel Carbon consists of a team of software engineers, data scientists, founders and climate experts with a passion to solve the world’s most pressing issue—climate change. Collectively, our leadership team has launched and invested in multiple companies, and are now combining their experience and knowledge here at Unravel.

We are backed by some of the world’s best funds and investors and are part of Y Combinator’s W22 batch.

Unravel Carbon was founded in 2021 with headquarters in Singapore.

Unravel Carbon on LinkedIn: https://www.linkedin.com/company/unravelcarbon/

ABOUT THE ROLE

We are looking for early members of our India team. You will be part of the team that establishes our India product development team. We are looking for candidates who have high potential, are excited about tackling the climate change problem and are excited to grow in a high-growth environment while working with the Singapore HQ.

A junior/mid-level backend software engineer. Must be comfortable to work in a small development team and have the initiative to work alone on smaller problem sets. Must be passionate about climate-tech for a better future.

• Build backend server applications using Flask/DJango framework
• Collaborate with the data team to integrate data pipelines into our backend system.
• Collaborate with the front end team.
• Analyze processes and code to troubleshoot problems and identify areas of improvement.
• Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members.
• Take lead on projects, as needed.

ABOUT YOU

• Willingness to learn, be a self-starter, and thrive in uncertainty; you would be one of the first few employees at an early stage startup, be prepared to venture into unknown territory, collaborate and learn
• Meticulous and detail-oriented
• Required skills:
• Python Backend Development Frameworks (Flask, Django). Backend development in other languages/frameworks can be considered too
• NoSQL databases (MongoDB)
• SQL databases (MySQL, Postgres, DuckDB)
• Running/managing Linux servers on Cloud services (AWS/GCS/Azure)
• Optional skills:
• Front End Web development (ReactJS)
• Python data science tools (Pandas, Numpy, Scipy)
• Python NLP tools

YOUR WORK STYLE

• An understanding of agile product development
• Self exploration and self learning of the latest technologies and applying them to solving the technical challenges our team face
• Self­-starter (proactive and independent) with an ability to prioritize different assignments and tasks to meet deadlines
• Comfortable working in a collaborative environment
• Eager to think outside of the box and creatively problem-solve

YOUR PREFERRED BACKGROUND

A Bachelor’s Degree in Computer Science, IT, or related discipline AND 1+ years working experience in the IT industry. 

WHAT WE OFFER YOU

We offer an exciting challenge for a purpose-driven person who thoroughly enjoys learning and takes up responsibilities in a multi-cultural, primarily virtual, and pioneering organization.  

We nurture a culture that allows you to thrive, where your skills can be honed and your ideas will be heard, and where collaboration across teams and with global partners is the default.

Required Skills 

1) Good experience in Angular

2) Hand on Node.JS./Express JS 

3) Database : MYSQL/MongoDB 

4) Experience in Java Script, Typescript. 

5)Good experience in HTML5, CSS3, JavaScript, Jquery 

6) Experience working in an Agile environment. 

7) Good communication skills.

Responsibilities:

Respond to customer queries in a timely and accurate way, via phone.

Identify customer needs and help customers use specific features.

Inform customers about new features and functionalities.

Gather customer feedback and share with our Product, Sales and Marketing teams.

Shift Timing: 1pm-9.30pm (UK)

8pm-5am (US)

** Must have excellent communication skill in English .

Freshers also can apply.

Interview Mode: Face to face

Contact: Sanjukta (HR) @ 90381^69266/ sanjukta.seal at the rate adretsoftware.com

Responsibilities:

• Designing Hive/HCatalog data model includes creating table definitions, file formats, compression techniques for Structured & Semi-structured data processing

• Implementing Spark processing based ETL frameworks

• Implementing Big data pipeline for Data Ingestion, Storage, Processing & Consumption

• Modifying the Informatica-Teradata & Unix based data pipeline

• Enhancing the Talend-Hive/Spark & Unix based data pipelines

• Develop and Deploy Scala/Python based Spark Jobs for ETL processing

• Strong SQL & DWH concepts.

Preferred Background:

• Function as integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs

• Lead project efforts in defining scope, planning, executing, and reporting to stakeholders on strategic initiatives

• Understanding of EDW system of business and creating High level design document and low level implementation document

• Understanding of Big Data Lake system of business and creating High level design document and low level implementation document

• Designing Big data pipeline for Data Ingestion, Storage, Processing & Consumption

Responsibilities:

• Generate leads and cold call prospective Partners (Sub-Brokers).
• Arrange business meetings with prospective Partners and work on Partners activation & Client network development
• Advising Partners/Clients to build a strong portfolio into equities.
• Providing the advisory regarding the strategies for securities investment.
• Strive to achieve business targets as per assigned portfolio
• Upsell/Cross sell through Partners.
• Arrange periodical Partner Meets for New Acquisition and generating leads for prospects.
• Have a good understanding of our products and be able to advise others about them
• Interact with partners for product training, advisory to keep partners active & increase revenue.
• Understand and resolve partner query end to end in coordination with technology team.
• Handling Partner Advisory and AUM.

Checklist:

• 1-3 years’ experience as a business development manager, sales executive or a relevant role in BFSI industry
• Basic Knowledge of Equity & Derivatives
• Prior experience of sales of financial products is a must
• Strong Market Understanding and proven sales track record.
• Candidate must have excellent communication skills and negotiation skills.
• Proficient in MIS reporting and other MS-office utilities
• Ability to build rapport
• Confident with a dynamic personality

  Write and post technical job descriptions 

  Parse specialized skills and qualifications to screen IT resumes 

  Perform pre-screening calls to analyze applicants’ abilities 

  Interview candidates combining various methods (e.g. structured interviews, technical assessments and behavioral questions) 

  Coordinate with IT team leaders to forecast department goals and hiring needs 

  Craft and send personalized recruiting emails with current job openings to passive candidates 

  Participate in tech conferences and meetups to network with IT professionals 

  Compose job offer letters 

  Onboard new hires  

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
• 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary 💸
• Work Remotely 🌎
• Health insurance 🏥
• Unlimited Time Off ⏰
• Support for continual learning (free books and online courses) 📚
• Reimbursement for streaming services (think Netflix) 🎥
• Reimbursement for gym or physical activity of your choice 🏋🏽‍♀️
• Flex hours 💪
• Leveling Up Opportunities 🌱

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases
• Experience with data pipeline and workflow management tools
• Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience supporting and working with cross-functional teams in a dynamic environment