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
Requirements:
- 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.
Responsibility:
- 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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