Cloud Computing Expert

1 week ago


Tampa, Florida, United States Aquent Full time

As a Senior Data Engineer at Aquent, you will play a critical role in designing, building, and maintaining big data infrastructure, ensuring scalability, reliability, and performance of data systems. You will work with cross-functional teams to integrate data systems with other applications and services, and collaborate with product managers and analysts to design and implement data models and data warehousing solutions. You will also be responsible for developing and optimizing Spark applications and ETL pipelines for performance and scalability, and ensuring data quality, integrity, and security across all data systems. The ideal candidate for this role will have 7-8 years of experience in data engineering, big data, or a related field, and proficiency in Spark, including Spark Core, Spark SQL, and Spark Streaming. They should also have experience with AWS EMR, including cluster management and job optimization, and strong skills in Python, including data structures, algorithms, and software design patterns. Additionally, they should have hands-on experience with Databricks, including Databricks Lakehouse (advantageous), and experience with optimizing Spark applications and ETL pipelines for performance and scalability.



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