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Data Engineer
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Full-time
- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks
- Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets
- Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices
- Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement
- 3+ years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch
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