Crewscale
https://crewscale.comAbout
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
Amazon Web Services (AWS)The present role is a Data engineer role for Crewscale– Toplyne Collaboration.
Crewscale is exclusive partner of Toplyne.
About Crewscale:
Crewscale is a premium technology company focusing on helping companies building world
class scalable products. We are a product based start-up having a code assessment platform
which is being used top technology disrupters across the world.
Crewscale works with premium product companies (Indian and International) like - Swiggy,
ShareChat Grab, Capillary, Uber, Workspan, Ovo and many more. We are responsible for
managing infrastructure for Swiggy as well.
We focus on building only world class tech product and our USP is building technology can
handle scale from 1 million to 1 billion hits.
We invite candidates who have a zeal to develop world class products to come and work with us.
Toplyne
Who are we? 👋
Toplyne is a global SaaS product built to help revenue teams, at businesses with a self-service motion, and a large user-base, identify which users to spend time on, when and for what outcome. Think self-service or freemium-led companies like Figma, Notion, Freshworks, and Slack. We do this by helping companies recognize signals across their - product engagement, sales, billing, and marketing data.
Founded in June 2021, Toplyne is backed by marquee investors like Sequoia,Together fund and a bunch of well known angels. You can read more about us on - https://bit.ly/ForbesToplyne" target="_blank">https://bit.ly/ForbesToplyne , https://bit.ly/YourstoryToplyne" target="_blank">https://bit.ly/YourstoryToplyne.
What will you get to work on? 🏗️
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Design, Develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity.
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Develop and implement processes and systems to supervise data quality, data mining and ensuring production data is always accurate and available for key partners and business processes that depend on it.
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Perform data analysis required to solve data related issues and assist in the resolution of data issues.
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Complete ownership - You’ll build highly scalable platforms and services that support rapidly growing data needs in Toplyne. There’s no instruction book, it’s yours to write. You’ll figure it out, ship it, and iterate.
What do we expect from you? 🙌🏻
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3-6 years of relevant work experience in a Data Engineering role.
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Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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Experience building and optimising data pipelines, architectures and data sets.
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Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
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Strong analytic skills related to working with unstructured datasets.
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Good understanding of Airflow, Spark, NoSql databases, Kakfa is nice to have.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
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𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
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Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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