At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo.
About the Role:
Are you a curious, critical-thinking Data Engineer? Join our Product Data team where you’ll play a pivotal role in enhancing and architecting the strategy behind our data monitoring and quality assurance systems, as well as having a hand in the construction of ETL processes and engineering decision-making within our big data pipelines. In this dynamic position, you'll serve as both a developer and technical lead for various data pipeline and platform projects. You'll collaborate with a dedicated team to design and implement data pipelines that not only measure metrics but also monitor the quality of our systems, ensuring an unparalleled experience for our customers and internal stakeholders.
Technological Stack:
Our technology stack includes but is not limited to Airflow, Python, PySpark, BigQuery, Snowflake, Google DataProc, Starburst/Apache Trino, Apache Iceberg, AWS EMR and more. This role offers a tremendous opportunity to gain experience with a wide array of cloud-native technologies, develop sophisticated data pipelines using modern big data technologies, and lead significant initiatives on an enterprise scale with exposure to two of the top major cloud providers, AWS and GCP.
What you’ll do:
- Design and implement ETL processes to handle the ingestion of data, thinking considerately of downstream impact to our data ecosystem
- Design and implement data monitoring pipelines to proactively identify and resolve data quality issues, potentially impacting downstream products.
- Collaborate with stakeholders to define project requirements, analyze and think critically to develop metrics representing data pipeline business value, and create corresponding monitoring solutions using Python, Spark, and Airflow.
- Innovate and develop new methodologies to enhance access to trustworthy data, accelerating the value provided by the product data team.
- Own monitoring efforts for your projects from dashboard wireframe to finished pipeline
What you’ll bring:
- Bachelor’s Degree in Computer Science, Engineering, or a related STEM field, with a focus on Data Processing or Data Analysis
- A Master’s Degree is equivalent to 2 years of experience.
- A Ph.D. counts as 5 years of experience
- At least 3 years of experience in Data Engineering or a similar role, with a proven track record of working with big data pipelines and analytics
- Minimum of 2 years of hands-on experience with SQL in scalable data warehouses (e.g., Bigquery, Snowflake)
- Experience in implementing best practices for data engineering and optimizing data pipeline performance/scalability
- Proficiency in cloud technologies, preferably GCP and/or AWS
- Expertise with Apache Airflow
- 2+ years of experience with Apache Spark
- 3+ years of coding experience in Python
- Understanding of Distributed Systems and Effective Data Management
- Knowledge of commonly utilized data structures in databases and data warehouses
- Familiarity with the Decoupled Compute and Storage Paradigm
- Familiarity with containerized applications
- Familiarity with CI/CD tools (e.g., Jenkins)
Desirable Experience:
- Familiarity with Agile methodologies and CI/CD practices
- Familiarity with Infrastructure as Code (e.g., Terraform)
- Proficiency in data visualization tools (e.g., Tableau)
#LI-MH
#LI-Hybrid
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
About us:
ZoomInfo (NASDAQ: ZI) is the trusted go-to-market platform for businesses to find, acquire, and grow their customers. It delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. Businesses use ZoomInfo to increase efficiency, consolidate technology stacks, and align their sales and marketing teams — all in one platform.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an Equal Opportunity Employer. We are committed to equal employment opportunities for applicants and employees regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic or status protected by applicable law. At ZoomInfo, we also consider qualified candidates with criminal histories, consistent with legal requirements.
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