Business Intelligence Data Engineer

Data Engineer Responsibilities:

• Assemble large, complex sets of data to meet functional business requirements.
• Identify, design and implement data collection and aggregation for greater scalability, optimizing data delivery, and automating manual processes.
• Work with various stakeholders throughout the company to support their data infrastructure needs and assist them with data-related technical issues.
• Work with other members of the data engineering team to model data structures, architect and execute data orchestration, and extract/transform/load (ETL) procedures.
• Assist analyst team with the development of Tableau dashboards and ad hoc data analysis.
• Monitor ongoing ETL and data orchestration processes.
• Collaborate with cross-functional leadership to help teams achieve goals through data informed decision making.
• Other data engineering projects as identified by your manager.

Requirements:

• Bachelor's degree in Business, Statistics, Computer Science, or other related technical or project management related major with 2+ years’ experience in a related role OR a minimum of 5 years’ experience in a related role.
• Deep expertise with data warehousing languages Python and SQL data orchestration tools like Apache Airflow or equivalent technologies.
• 3+ years experience leveraging AWS technologies (Redshift, SQS/SNS, Cloud formation, RDS, Glue, S3, EC2) in a big data and decision support environment.
• Direct experience in managing large data sets from a variety of SaaS business solutions and integrating into an environment to facilitate reporting.
• Familiarity with other SaaS business solutions, including at least one or more of: Intercom, Chargify, Netsuite, Salesforce, Zapier, Amplitude, Segment, Outreach, HubSpot.
• Able to manage a project, including generating, explaining, and presenting detailed project metrics, schedules, milestone objectives, status reports, and other documentation clearly and accurately.
• Excellent analytical skills associated with working on unstructured datasets.
• Strong written and verbal communication skills; able to collaborate with a variety of stakeholders including senior leadership and cross-functional teams.
• Experience with data streams from Kafka or other similar technologies is a plus.
• General understanding of the residential real estate industry.