Full-Time ETL Developer (Remote)
Vericast is hiring a remote Full-Time ETL Developer (Remote). The career level for this job opening is Experienced and is accepting San Antonio, TX based applicants remotely. Read complete job description before applying.
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Vericast is seeking for a motivated ETL Developer IV in Data Engineering team to build big data pipelines, marketing campaign automations, and support existing analytics and reporting data requirements.
This role will be responsible for expanding our data infrastructure and data pipeline architecture, as well as optimizing data flow and collection towards our Data Lake environment.
The ETL Developer will work closely with our analytics and reporting as well as data scientists on data initiatives and will ensure that optimal data delivery architecture is consistent and always available throughout ongoing projects.
They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
This position is a perfect fit for someone who really likes to work in an agile team and to contribute their skills for building high quality data-driven marketing products, working collaboratively with other developers and business partners.
KEY DUTIES/RESPONSIBILITIES
- Develop scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity.
- Collaborates 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 organization.
- Implements processes and systems to monitor data quality, ensure availability and accuracy of production data for key stakeholders and business processes that depend on it.
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Provide post-deployment support and to quickly respond to and resolve unexpected service problems in production.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.