Gruve | Data Engineer | pune

1 week ago

pune, India Gruve Full time

About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises into AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

About the Role

We are seeking a talented Data Engineer to join our AI team. In this role, you will leverage your expertise in data engineering to develop robust, scalable data solutions that meet the needs of enterprise customers. You’ll collaborate with data scientists, software engineers, and business teams to ensure scalable data flows and contribute to the overall success of data-driven projects. This is an exciting opportunity with hands-on experience in building and deploying AI-powered solutions.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines that enable efficient data flow from various sources to storage and analytics platforms.
  • Proficient in building data architectures in Azure, Snowflake, and Databricks.
  • Hands-on experience integrating data from multiple enterprise data sources
  • Optimize existing data pipelines and storage solutions to improve performance and efficiency.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and business teams, to understand data requirements and translate them into efficient technical solutions.
  • Design and implement data governance and security measures.
  • Design and implement data pipelines that support AI model training, inference, and real-time data processing.
  • Design and implement ETL/ELT processes to optimize data transformations.

Qualifications

  • 3+ years of experience in data engineering, working with large-scale data architectures.
  • Hands-on experience with Snowflake or similar platforms, including data warehouse architecture, query optimization, and data modeling.
  • Hands-on experience designing and implementing vector databases.
  • Proficiency in Microsoft Azure.
  • Strong knowledge of SQL and experience with Python.
  • Experience with ETL/ELT processes and data transformation tools.
  • Familiarity with data governance practices, including data quality, security, and privacy.
  • Experience with version control systems (e.g., Git) and CI/CD pipelines for data engineering projects.
  • Strong problem-solving skills, with the ability to troubleshoot complex data issues and improve performance.


Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.


Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

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