Lead Data Engineer

• Understand large data sets and their application to business
• Provide guidance and tool selection for our ETL and reverse ETL platforms
• Design, construct and maintain fault-tolerant, highly distributed, and robust ETL platforms for a variety of business use cases
• Define and implement company-wide best practices for no-code data exploration
• Work on structured and semi-structured data to put company data to business use
• Analyze and create tooling enabling non-engineers to analyze massive sets of structured and semi-structured data for business analytics
• Work with both technical and non-technical members of the team to provide data advice
• Integrate additional data sources as needed by the firm while adhering to standard practices
• Completely control and manage the data lake, as well as all of the data and structure included inside it

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 7+ years of relevant experience as a software engineer
• 7+ years experience in handling data pipelines, data warehouses, and data lakes
• Experience being the data expert at a company and explaining the business significance throughout the schema
• Ability to ingest large amounts of SQL and NoSQL data
• Ensure that the data is beautifully structured and formatted in the data warehouse in such a way that is consistent and easy to utilize and leverage and understand
• Experience as a team-lead, setting the strategy, and mentoring others
• Experience taking large and complex projects and creating clear prioritization and estimations around each task
• Prior experience working cross-functionally to answer questions and advise