Data Engineer II
Bangalore
Engineering – Backend /
Full-time /
On-site
Our mission
Fitness and wellness businesses make this world a healthier and happier place. Between yoga studios, gyms, boot camps, and boutique studios, there is something for everyone. But today, the technology which powers them — is broken. The existing suite of software is clunky, difficult to use, faces regular outages, and offers poor support.
We’re changing that.
Bookee is the most complete software for fitness & wellness businesses. We bring together scheduling, memberships, payments, marketing, payroll — everything on one platform and automate it. Our goal is to replace ten different tools they use today with one almighty.
So that they can focus on what they love — making people healthy and happy.
At Bookee, engineering is more than just writing code. We are a highly analytical team that along with the drive to jump over technical barriers, also loved to build creative solutions for our customers.
Responsibilites
- Identify data needs for business and product teams, understand their specific requirements for metrics and analysis, and build efficient and scalable data pipelines to enable data-driven decisions
- Design, develop, and own data pipelines and models that power internal analytics for product and business teams
- Help the product team define and test metrics and dashboarding offered in team-based plans
- Drive the collection of new data and the refinement of existing data sources, and develop relationships with engineering teams to manage our data structures as the product evolves
- Develop strong subject matter expertise and manage the SLAs for those data pipelines
- Create and maintain technical documentation
What you'll need
- 2+ years of experience in a Data Engineering or related role, with a focus on building data pipelines
- A strong engineering background and a clear passion for data and analytics
- Ability to effectively convey technical information to both technical and non-technical audiences
- An inquisitive nature in diving into data inconsistencies to pinpoint issues
- Experience with AWS cloud platform
- Fluency in SQL
- Knowledge of or experience in the following:
- Designing, writing, and debugging scalable data pipelines
- At least one modern programming language such as Python or R
- Experience with Snowflake (a bonus), dbt, Redshift, or BigQuery
- At least one analytics/BI tool such as Tableau or Looker
- The ability to communicate cross-functionally, derive requirements and architect shared datasets
- Access to the knowledge repository and code review.
- The opportunity to develop and improve your competencies.
- Great freedom in making decisions.
- The opportunity to work with various technologies.
- Working with the most modern toolset.
Our history and background
Our leadership team has worked at elite organizations and startups like JP Morgan, Uber, Shiprocket, BrowserStack, and MagicPin; and is passionate about making physical and mental health more accessible.
We have raised over $3.2 million in venture capital from Antler; founder of FusionCharts (Pallav Nadhani); and leaders from companies like Meta, Gitlab, Freshworks & CleverTap.
We are excited to open up more seats in this rocket ship!
