Identify, collect, and integrate data from sources to build analytics pipelines.
Develop and optimize code to run pipelines cost-effectively.
Build monitoring procedures and tools to ensure reliable ETL and data quality.
Design processes to correct ETL incidents.
Collaborate with CRM developers, data scientists, data analysts, and product owners.
Advise analytics teams on best practices for data use.

🎯 Requirements

Experience in data engineering, big data, BI, or data science.
Spark, Python, Scala, or similar.
Excellent SQL skills for large-scale data transformation.
Cloud data infrastructures and tools (GCP preferred; AWS/Azure ok).
Programming in JavaScript or Python; DBT experience.
Data governance and data quality practices knowledge.

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