ABOUT VICTORY LIVE Victory Live is a private equity backed technology company aimed at maximizing distribution and yield for live event ticket inventory. We provide an end-to-end software platform for the live ticketing industry managing thousands of sports theater and live music event tickets on behalf of artists promotors teams venues and professional resellers. Victory Lives comprehensive offerings include an established B2B marketplace along with both a full-service and an automated SaaS platform to handle all elements of the ticket sales lifecycle from ingestion to sales fulfillment.
THE POSITION The Analytics Engineer will support the business intelligence team by building reliable data pipelines modeling data for reporting and ensuring stakeholders have timely accurate information. Youll work closely with senior engineers and analysts gaining hands-on experience with cloud data platforms orchestration tools and modern analytics workflows.
RESPONSIBILITIES
Develop test and maintainETL/ELT pipelinesusing tools likedbtSnowflakeAirflowDagster andAzure Data Factoryunder the guidance of senior team members.
Write efficientSQLandPythoncode to clean transform and load data from multiple sources.
Assist with creating and maintaining data models (e.g. fact/dimension tables) for reporting and analysis.
Support BI and reporting platforms () by ensuring data is well-modeled and up to date.
Help monitor pipelines and troubleshoot issues with data quality performance or reliability.
Document data models transformations and workflows for knowledge sharing and reproducibility.
Comfortable with APIs and integrating them into data pipelines.
Collaborate with the BI team to translate business requirements into usable datasets and dashboards.
Participate in code reviews testing and version control (Git) to ensure data integrity and consistency.
REQUIREMENTS What were looking for
23 years of experience in data engineering analytics engineering or a similar role.
StrongSQLskills and experience writing queries for analysis or transformation.
Basic proficiency inPythonfor data processing and automation.
Hands-on experience with a cloud data warehouse (Snowflake preferred).
Familiarity withdbtor similar transformation frameworks.
Exposure to workflow orchestration tools (Airflow Dagster etc.) or ETL/ELT services (ADF Fivetran etc.).
Understanding of core data concepts: relational databases schemas joins data modeling.
Strong communication and problem-solving skills with an eagerness to learn new tools and techniques.
Preferred Qualifications
Experience with business intelligence tools (Sigma Power BI Looker or Tableau).
Familiarity with Git and collaborative software development practices.
Knowledge of basic data governance lineage and data quality practices.
Exposure to cloud environments (Azure AWS or GCP).
Victory Live is an equal opportunity employer. We are committed to equal employment opportunity regardless of race color ethnicity ancestry religion creed sex national origin sexual orientation age citizenship status marital status disability gender identity gender expression Veteran status or another other characteristic protected by state local or federal law.
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