Data Engineer

Senior Data Engineer Job Description

Role Description
We are looking for a versatile data professional, capable of leading end-to-end projects. The responsibilities include requirements gathering and cross-functional collaboration with internal engineering teams, data discovery and exploration, designing and prototyping metrics, data validation and quality checks, dashboard and visualization development, query optimization, all the way to presenting meaningful and actionable insights.

Responsibilities

• Gather technical and business requirements alongside cross-functional, internal engineering teams


• Discover and explore datasets suitable for the project requirements


• Design and develop impactful and actionable metrics


• Collaborate with engineers on data acquisition and modeling


• Perform data validation and quality checks


• Develop dashboards, embedded product visualizations and comprehensive reporting


• Clearly present insights and recommendations based on quantitative research


• Independently manage, prioritize and deliver project milestones to ensure on-time completion


• Cultivate client relationships and promote collaboration


• Participate in roadmap development to grow the maturity of the data domain within the company

Minimum Qualifications

• BS in Computer Science, Math, Statistics, or other quantitative field


• 8+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions


• 8+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, PHP etc.)


• Strong written and verbal communication skills


• Strong critical thinking and problem-solving skills


• Proficiency in designing and developing business and product KPIs


• Proficiency in applying descriptive statistics in metrics


• Proficiency with data exploration, manipulation and transformation tools and libraries (Jupyter, Pandas, Numpy, Matplotlib)


• Proficiency with data visualization tools such as Tableau, Power BI


• Familiarity with project management tools and agile/scrum development methodology and rituals (Jira, Sprint)


• Hybrid Role - 3 days onsite (Fremont, CA)

Preferred Qualification

• Familiarity with version control systems (git, mercurial, etc.)


• Familiarity with data warehousing concepts


• Domain knowledge of data infrastructure, cloud computing, security, product, operations


• Previous roles in consulting or Managed Services