
Lead Data Pipeline Specialist
14 hours ago
We are seeking a Senior Data Engineer to join our team. As a member of this team, you will be responsible for building data pipelines to ingest various source data from enterprise technologies and PitchBook Platform data.
You will work with a range of data and reporting technologies (e.g. Python, Docker, Tableau, Power BI) to build upon a strong foundation of rigor, quantitative techniques, and efficient processing.
Your team will rely on you to build your skills in data techniques and analytics to deliver accurate, timely, accessible, and secure data & insights to users.
Key Responsibilities:
- Apply unified data technologies to support advanced and automated business analytics.
- Design, develop, document, and maintain database and reporting structures used to compile insights.
- Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions.
- Consistently evolve data processes and techniques following industry best practices.
- Build data models to be used for reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives.
- Contribute to the ongoing improvement of quality assurance standards and procedures.
- Support the vision and values of the company through role modeling and encouraging desired behaviors.
Required Skills and Qualifications:
- Bachelor's degree in a related field (Computer Science, Engineering, etc.).
- 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture.
- 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting.
- 3+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis.
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