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Job Description & How to Apply Below
This role combines data engineering and analytics within a consulting environment. As an important team member, you will create and optimize scalable data pipelines, utilizing SQL and Python. Collaborate with stakeholders to translate requirements into effective data solutions while ensuring high data quality and system reliability.
Key Responsibilities:
• Develop and optimize scalable data pipelines for quality datasets
• Write SQL and Python code to support data processing workflows
• Collaborate with stakeholders to create technical data models
• Build and maintain data models aligned with architectural standards
• Troubleshoot performance issues in production environments
Requirements:
• 3+ years in data engineering or analytics engineering
• Proficiency in SQL and Python for data tasks
• Experience with cloud platforms like Snowflake or Databricks
• Familiarity with CI/CD pipelines in data environments
• Strong communication skills with technical and non-technical audiences
Drive impactful data solutions by leveraging your analytics expertise in a collaborative, remote-first role.
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