Highspot Hiring Drive 2024 For Data Engineer | Location Hyderabad

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Highspot Hiring Drive 2024: Highspot Hiring Drive 2024 for its Data Engineer. Highspot Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Highspot

Role: Data Engineer

Location: Hyderabad

Experience: 1 – 4 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Highspot Hiring Drive 2024

Job Description:

  • As a Data Engineer, you will be responsible for the end-to-end data pipeline, ensuring the reliability, efficiency, and scalability of our data systems
  • You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to develop robust data solutions that empower data-driven decision-making


  • Bachelor s degree or equivalent experience.
  • 3+ years experience in product engineering industry.
  • 2+ years of experience using SQL in an advanced capacity in query authoring, tuning, and identifying useful abstractions.
  • 3 years of hands-on experience in Python, demonstrating proficiency in data wrangling and object-oriented programming
  • Expertise in designing, creating, managing, and utilizing large datasets.
  • Ability to build efficient, flexible, extensible, and scalable ETL and reporting solutions.
  • Root cause analysis experience on internal and external data and processes.
  • Cloud-based database platforms experience, preferably Snowflake.
  • 2+ years of git experience for version control and collaboration.
  • 2+ years of experience working with AWS cloud technology.
  • 2+ years of experience working with workflow management platforms like airflow/dagster
  • 1+ years experience using Tableau to build impactful reports and dashboards
  • Experience working with dbt is a plus
  • Strong analytical and problem-solving skills.
  • Cross-functional team collaboration experience in a dynamic environment.
  • Proven track record of navigating ambiguity, prioritizing needs, and solving impactful business problems.
  • Excellent written and verbal communication skills for technical and non-technical audiences.
  • Empathy-driven, supporting team success.
  • Remote work experience with a U.S.-based team is preferred.


  • Create optimal data pipeline architecture
  • Develop, and maintain end-to-end scalable data infrastructure and pipelines.
  • Identify, design, and implement process improvements, automating manual processes and optimizing data delivery.
  • Assist internal stakeholders with data-related technical issues and support their data infrastructure needs.
  • Develop data tools for analytics and data scientists, contributing to product innovation.
  • Collaborate with data and analytics experts to enhance functionality in data systems.
  • Design and implement data models, ensuring integrity and consistency.
  • Identify and resolve performance bottlenecks, optimizing queries and processing.
  • Implement data governance best practices for quality, security, and compliance.
  • Stay informed about emerging technologies, contribute to tool selection, and enhance data infrastructure.
  • Create and maintain comprehensive documentation for data engineering processes and workflows.
  • Drive the teams data strategy, technical roadmap, and data storage solutions.
  • Empower the team for self-servicing and efficient troubleshooting.

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