Data Scientist

3 days ago


Bengaluru, Karnataka, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Our Organization:

Our company was born from a question: "Can we change the way the world experiences property?"

We stay true to our 'day one' mindset; the hunger to innovate, the ambition to change the world, and the curiosity to reimagine the future.

The Tech Center in Cyber City

Accelerates global technology delivery through relentless innovation. We're looking for technologists, inventors, and leaders to join us on this exciting journey.

The Role:

Commercial Data team in Advertising develops leading property and market data insights to power Real Commercial products.

Your Responsibilities:
  • Deliver complex initiatives under product management pipeline using agile methods and frameworks working with cross-disciplinary teams.
  • Provide technical leadership and guidance to the team, serving as subject matter expert in data engineering and related technologies.
  • Contribute to design and architecture of scalable, efficient, and secure data solutions, considering long-term scalability and maintainability.
  • Establish effective ways of working within and across teams.
  • Embrace continuous learning, leveraging latest development trends to solve complex challenges.
Requirements:
  • An experienced developer (8-13 years' experience), who thrives in collaborative environment, enjoys being hands-on tackling technical challenges and leading teams to deliver innovative solutions.
  • Proven people leadership and mentoring experience.
  • Well-versed in SQL, Python, ETL/ELT pipelines.
  • Experience with Data modeling, Data pipelines, Data consumption, Data analysis, and documentation.
  • Has led development teams using Agile, Lean, and/or iterative releasing.
  • Demonstrates commitment to code quality and keen eye for detail.
  • Possesses communication skills to collaborate effectively with global teams.
Bonus Points:
  • Experience with Big Query, PostgreSQL, MSSQL, Python libraries (Pandas, Requests, JSON), Docker, Kafka, Linux shell scripting, Git/GitHub, AWS (S3, Lambda, IaC), Airflow, Interacting with REST APIs.

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