Data Engineer, Contract

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Requirements:

• 7+ years of expertise with SQL, particularly in Redshift and BigQuery.
• Experience with Python for data processing and automation.
• Proficient with data visualization tools like Tableau or Looker.
• Skilled in leveraging DBT for data transformations and source control.
• Strong knowledge of data pipeline automation and ETL/ELT processes.
• Experience in establishing database architecture and data governance.
• Analytical skills to interpret data into actionable insights.
• Understanding of statistical analysis, predictive modeling, and machine learning.

Responsibilities:

• Develop, maintain, and optimize data pipelines and ETL/ELT processes using Redshift, BigQuery, and other data systems.
• Design and manage data architectures for efficient cross-channel integration.
• Utilize APIs and automation tools for data ingestion and transformation.
• Build and maintain robust data models to improve reporting accuracy.
• Collaborate with teams to align data structures with business needs.
• Clean, preprocess, and transform raw data for consistency.
• Monitor and troubleshoot data pipelines for high quality.
• Conduct exploratory data analysis to uncover trends.
• Support campaign optimization with predictive models and forecasting.
• Create interactive dashboards and reports for real-time insights.