Tricon Residential
Senior Data Engineer
Tricon Residential, Huntersville, North Carolina, United States, 28078
Tricon Residential is an owner and operator of a growing portfolio of more than 38,000 single-family rental homes in the U.S. Sun Belt and multi-family apartments in Canada. Our commitment to enriching the lives of our employees, residents and local communities underpins Tricon's culture and business philosophy. We provide high-quality rental housing options for families across the United States and Canada through our technology-enabled operating platform and dedicated on-the-ground operating teams. Our development programs are also delivering thousands of new rental homes and apartments as part of our commitment to help solve the housing supply shortage. At Tricon, we imagine a world where housing unlocks life's potential. For more information, visit Tricon Residential.
Job Description
As a Senior Data Engineer, you will be responsible for developing best practices and making architectural decisions to rapidly improve critical data processing & analytics pipelines. You will tackle hard problems to improve the platform's reliability, resiliency, and scalability. You will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. We are looking for someone who thrives on autonomy and has experience driving long-term projects to completion. You are detail and quality oriented, and excited about the prospects of having a big impact with data at Tricon Residential. Our tech stack includes Informatica, Matillion/Altryx, Snowflake, Power BI/Tableau and various AWS/Azure services.
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architectureCollaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organizationImplement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on itWrite unit/integration tests, contribute to engineering wiki, and document workPerform data analysis required to troubleshoot data related issues and assist in the resolution of data issuesDesign data integrations and data quality frameworkDesign and evaluate open source and vendor tools for data lineage and governanceWork closely with all business units and engineering teams to develop strategy for long-term data platform architectureAutomate cloud infrastructure, services, and observabilityDevelop CI/CD pipelines and testing automationDevelop, refine and educate the data community on coding standards and best practicesQualifications:
Experience building code-driven infrastructure on public cloud platforms, preferably AWSUnderstanding of SQL, dimensional modeling, and analytical data warehouses, like SnowflakeExperience with automation frameworks/tools like Git, Jenkins, Ansible, and TerraformExperience with AWS services such as Redshift, Glue, S3, EMR, Kinesis and SNS/SQSExperience architecting data lake and cloud data warehousesA product-focused mindset with ability to understand business requirements and architect systems that will scale and extend to accommodate those needsMinimum Requirement:
A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience5+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools5+ years of hands-on experience in writing complex, highly optimized SQL queries across large data sets3+ years of experience in scripting languages like Python etc.
At Tricon, we are committed to creating a workplace where every individual is valued for their unique contributions, experiences, voices, and backgrounds. By embracing these principles, we aim to positively impact our business and the communities we serve, creating a lasting legacy where everyone can thrive.
Job Description
As a Senior Data Engineer, you will be responsible for developing best practices and making architectural decisions to rapidly improve critical data processing & analytics pipelines. You will tackle hard problems to improve the platform's reliability, resiliency, and scalability. You will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. We are looking for someone who thrives on autonomy and has experience driving long-term projects to completion. You are detail and quality oriented, and excited about the prospects of having a big impact with data at Tricon Residential. Our tech stack includes Informatica, Matillion/Altryx, Snowflake, Power BI/Tableau and various AWS/Azure services.
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architectureCollaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organizationImplement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on itWrite unit/integration tests, contribute to engineering wiki, and document workPerform data analysis required to troubleshoot data related issues and assist in the resolution of data issuesDesign data integrations and data quality frameworkDesign and evaluate open source and vendor tools for data lineage and governanceWork closely with all business units and engineering teams to develop strategy for long-term data platform architectureAutomate cloud infrastructure, services, and observabilityDevelop CI/CD pipelines and testing automationDevelop, refine and educate the data community on coding standards and best practicesQualifications:
Experience building code-driven infrastructure on public cloud platforms, preferably AWSUnderstanding of SQL, dimensional modeling, and analytical data warehouses, like SnowflakeExperience with automation frameworks/tools like Git, Jenkins, Ansible, and TerraformExperience with AWS services such as Redshift, Glue, S3, EMR, Kinesis and SNS/SQSExperience architecting data lake and cloud data warehousesA product-focused mindset with ability to understand business requirements and architect systems that will scale and extend to accommodate those needsMinimum Requirement:
A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience5+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools5+ years of hands-on experience in writing complex, highly optimized SQL queries across large data sets3+ years of experience in scripting languages like Python etc.
At Tricon, we are committed to creating a workplace where every individual is valued for their unique contributions, experiences, voices, and backgrounds. By embracing these principles, we aim to positively impact our business and the communities we serve, creating a lasting legacy where everyone can thrive.