Candidates need to take a video screen with prime vendor prior to submittal
Must be independent
what this person will be doing: pulling data from affinity CRM (this is a must have)
Responsibilities
Data/Analytics Engineer: Leverage your ETL experience on Google Cloud and Snowflake, with a focus on extracting data from Affinity CRM (must-have) and integrating notifications back to Slack.
Data Infrastructure Design: Design, build, and maintain the data infrastructure for optimal data extraction, transformation, and loading from various data sources using SQL, NoSQL, and big data technologies.
Data Collection Systems: Develop and implement robust data collection systems that seamlessly integrate diverse data sources, including proprietary and third-party data.
End-to-End Data Processes: Create an end-to-end process to collect, process, and visualize user engagement data, contributing to data-driven decision-making across the firm.
Collaboration: Work closely with the Head of Data & Analytics to ensure the data stack and infrastructure align with the firm’s operational needs and goals.
Minimum Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Database Management, or a related field.
Experience: At least 3 years of experience as a Data Engineer, with expertise in data warehousing, data monitoring, and ETL pipeline construction and maintenance.
Technical Skills: Deep experience with data pipeline and workflow management tools, such as Airflow. Solid knowledge and hands-on experience in database design, setup, and maintenance. Proficiency in Python and SQL.
Communication Skills: Excellent communication skills, capable of effectively articulating complex data concepts to a non-technical audience.
Bonus Points
Experience with venture capital data operations or working with financial data.
Familiarity with data visualization tools like Looker, Tableau, or PowerBI
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Software Development
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