Data Science Engineer

1 day ago


Bengaluru, Karnataka, India Lavorro Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Company Description

Lavorro is a pioneering company providing internet-scale data solutions tailored to the semiconductor industry, optimizing tool performance, availability, and data utilization. Its patented Virtual Assistant software and analytics package uses natural language queries and custom dashboards to offer expert insights and access to live and historical tool data. Lavorro's secure Data Broker facilitates encrypted information sharing across tool platforms, enhancing performance, uptime, and yield. Founded in 2020 by semiconductor industry experts, Lavorro is headquartered in Palo Alto, California.

Role Description

This is a full-time on-site role based in Bengaluru for a Data Science Engineer. The candidate will work on designing, developing, and maintaining data pipelines; performing data modeling, analysis, and processing; and implementing ETL workflows. The role requires collaboration with cross-functional teams to ensure effective data-driven decision-making through efficient data storage and retrieval systems.

Qualifications

  • Proficiency in Data Engineering practices, including designing and maintaining scalable data pipelines and workflows.
  • Strong skills in Data Modeling and understanding of database structures and relationships.
  • Experience with Extract, Transform, Load (ETL) processes and tools to efficiently process and transform data.
  • Knowledge of Data Warehousing to architect and manage data storage with scalability and efficiency.
  • Proven ability in Data Analytics to derive actionable insights from structured and unstructured data sets.
  • Proficiency in programming languages such as Python, SQL, or equivalent programming experience.
  • Problem-solving mindset and ability to work both independently and as part of a team in a fast-paced environment.
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.


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