The Data Engineer will architect and implement data integration and ETL pipelines, manage data infrastructure and platforms, and support data governance, metadata management, data quality, and data validation. The role requires 5–6 years of experience in data engineering or a related role, proficiency with ETL tools and cloud data platforms, programming in Python or Java, SQL, cloud computing, and DevOps practices, along with strong problem-solving and communication skills.
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