Data Modellers

2 weeks ago

El Segundo CA, United States Axelon Services Corporation Full time

Job Title: Senior Marketing Data Engineer
Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.

Location: Remote, PST, MST

Pay Range: $70- $80 per hour



JOB DESCRIPTION
Design, build, and maintain scalable and auditable data pipelines using Databricks (Spark/Scala/Python/SQL) and Snowflake
Own the data validation lifecycle—including source-to-target reconciliation using Oracle, data profiling, and anomaly detection
Conduct deep-dive data mining to uncover patterns, inconsistencies, and opportunities for business action.
Develop and maintain data visualizations and dashboards in Tableau to support transparency and decision-making
Implement data quality checks and automated alerting for pipeline failures, anomalies, and audit flags
Collaborate with analysts, scientists, and business stakeholders to gather requirements, and deliver reliable data products.
Optimize existing pipelines for performance, scalability, and operational simplicity
Document data lineage, pipeline logic, and metadata clearly and consistently
Required Skills:
Hands-on experience designing and maintaining scalable data pipelines using Databricks (Spark/Scala/Python/Sql) and Snowflake
Strong SQL development skills for data extraction, transformation, and performance tuning
Ability to conduct source-to-target data reconciliation, auditing, and anomaly detection across large datasets
Proven experience troubleshooting Spark performance issues
Expertise in Snowflake data loading and update patterns
Tableau dashboard development, including parameters, performance optimization, and data-driven visualization
Solid understanding of data validation lifecycle
Ability to document pipelines, workflows, and requirements
xrczosw Preferred Skills:
Familiarity with advanced data profiling, anomaly detection techniques, and predictive modeling for identifying inconsistencies
Experience collaborating with business stakeholders to translate analytical requirements into reliable data products
Knowledge documenting data lineage, pipeline logic, and metadata management practices
Strong communication skills with the ability to clearly explain technical findings to non-technical stakeholders
Demonstrated ability to work independently with minimal oversight while managing priorities effectively

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