- Translate complex business and engineering requirements into clear and intuitive data models, facilitating metric derivation.
- Design, implement, and sustain high-quality data pipelines to ensure the consistent delivery of reliable data.
- Collaborate closely with growth, finance, engineering, and product teams to comprehensively grasp and address the diverse data needs across the organization.
- Assist in identifying and meticulously documenting data requirements for the engineering team, establishing a foundational model that promotes scalability through best practices.
- Maintain a stringent focus on data accuracy and correctness, particularly in business and user engagement data, to uphold data integrity and reliability.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven track record with 2+ years of hands-on experience in data engineering, showcasing proficiency in designing and implementing data solutions.
- Proficiency in utilizing data warehouse technologies like Snowflake and database systems such as MySQL, demonstrating practical knowledge in managing structured data.
- Extensive experience working with streaming and big data platforms like Kafka and Spark, as well as workflow systems including Airflow and DBT, showcasing expertise in handling large-scale data processing.
- Advanced proficiency in programming languages such as Python and Java, illustrating the ability to develop robust data pipelines and algorithms.
- Familiarity with cloud computing platforms, particularly AWS, indicating a solid understanding of cloud-based data infrastructure.
- Exceptional written and verbal communication skills, coupled with strong interpersonal abilities, enabling effective collaboration with technical and business stakeholders to drive successful data initiatives.
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Data Engineer - Mountain View, United States - Otter
Description
This position is based in Mountain View, CA
The Opportunity
We are searching for a talented Data Engineer to play a pivotal role in transforming business and engineering requirements into intuitive data models. You'll be responsible for architecting, building, and ensuring the integrity of robust data pipelines. Your collaboration with cross-functional teams will be crucial in identifying and meeting their unique data requirements.
Your Impact
We're looking for someone who
About
We are in the business of shaping the future of work. Our mission is to make conversations more valuable.
With over 1B meetings transcribed, is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.
is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.
* does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.
Salary range
Salary Range: $155,000 to $185,000 USD per year.
This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.