Experience: 3+ Years

PipeCandy is the industry-standard dataset that tracks millions of eCommerce companies and several billion dollars of eCommerce GMV down to the transaction level. The ‘Who’s Who’ of the eCommerce ecosystem uses PipeCandy’s data and insights for strategic planning, thesis formation, market intelligence, and growth tactics execution. We are a part of Assembly, the eCommerce data, software, and content platform unicorn and we are a profitable company. We are backed by the world's top private equity firms.

About the Role:

PipeCandy is building a market/industry intelligence product that combines sophisticated ML/AI algorithms with deep sector intelligence focused on eCommerce and Digital Native companies. You will be a part of our technology team. We expect you to hustle when it's needed and scale when it's time to. If you belong to one of the camps (between being a hustler & being scale focused) as long as you are very good at your approach, we'd like to meet you.

Key Responsibilities:

  • Design and maintain a robust and scalable data architecture to support product requirements
  • Define data transformations and build data pipelines in a complex multi-source data architecture and environment
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, NoSQL, and AWS ‘big data’ technologies
  • Work with data and analytics experts to strive for greater AI functionality in our data systems
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management

Techno-Functional Expertise Required:

  • Experience in implementing complex data pipelines on AWS or similar cloud environments
  • Experience with data pipeline and workflow management tools
  • Ability to write technical documents such as requirement specs or data standards
  • Advanced knowledge and experience in working with SQL and NoSQL databases as part of large data systems
  • Experience with master data, MDM, and data governance structures
  • Experience with implementing machine learning algorithms is a plus. Knowledge and experience of graph data structures and knowledge bases is a plus
  • Knowledge/experience using one or more of the following software/tools:
    • Wide variety of SQL and NoSQL databases
    • Knowledge of scripting languages such as Python, Java/Javascript, etc.
    • Experience with Big data tools and stream-processing systems on AWS is a plus
    • Experience with Snowflake is a plus

Skills Required:

  • Self-motivated and able to handle tasks with minimal supervision
  • Detail-oriented, results-driven with the ability to manage multiple requirements in a dynamically changing environment
  • Ability to analyze available information, arrive at the right questions, seek answers, and decide on the next course of action
  • Ability to work as part of a high-functioning, multi-tasking team
  • Ability to take responsibility and accountability for tasks allocated
  • Clear analytical and communication skills

What's in it for you:

  • Goal-driven, apolitical, and aligned organization with great opportunities to learn from peers and founders across geographies
  • An opportunity to work with a unique global market leader in the eCommerce intelligence space and also only one such company that is built out of India
  • A financially stable, well-funded organization with high growth potential
  • Remote-friendly leave policies
  • A strong work culture where collaboration is easy
  • A group of ex-founders as colleagues who believe in getting things done
  • Access to Udemy for self-learning

Read about our founding principles and values, We mean them. Above all perks, these are what will make PipeCandy a great place for you to work.

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