Requirements

Expected technologies

ETL

SQL

Databricks

AWS

Snowflake Data Cloud

Linux

pyspark

Python

Operating system

Windows

Our requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, or related disciplines
• 3-4 year of experience in ETL or data warehousing
• Proficiency in pyspark, python, SQL and/or similar programming languages
• 3-4 years of Experience working in entity resolution/graph build/Master data management problem
• Proficiency in databricks, snowflake, and AWS
• Proficiency in Linux, shell scripting and/or similar scripting languages for automation
• Strong analytical and problem-solving skills with keen attention to detail
• Excellent written and oral communication skills
• History of proactive stakeholder communication and driving project success
• Enthusiasm for working in a collaborative, fast-paced environment

Optional

• Good understanding of US demographics and population characteristics

Your responsibilities

• Conduct analysis of our graphs. Identify areas of over and under consolidations, and generate right quantifiable metrics to report back to Graph engineering team for improvements
• Build standardized dashboards that present a high level view of quality of the graph
• Ensure data quality and integrity through dashboarding and rigorous validation and quality checks
• Ensure graph QA process is compliant with data governance standards
• Ensure successful execution of production data workflows
• Analyze large sets of data to identify trends, patterns, and opportunities
• Drive automation to reduce manual intervention and improve efficiency
• Proactively communicate with project stakeholders regarding workflow results, project status, and open questions
• Perform ad-hoc data analysis requests and provide actionable recommendations
• Build knowledge of the data you manage and be a resource for other stakeholders regarding the attributes and characteristics of the data