Remote New 
Data Engineer
 Equiliem | |
 United States, Oregon | |
 Nov 21, 2024 | |
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eeking an experienced Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining our big data infrastructure, ensuring the scalability, reliability, and performance of our data systems.
Job Summary: We are looking for a highly skilled Senior Data Engineer with a strong background in big data engineering, cloud computing, and software development. The ideal candidate will have a proven track record of designing and implementing scalable data solutions using AWS, Spark, and Python. The candidate should have hands-on experience with Databricks, optimizing Spark applications, and building ETL pipelines. Experience with CI/CD, unit testing, and big data problem-solving is a plus. Key Responsibilities: * Design, build, and maintain large-scale data pipelines using AWS EMR, Spark, and Python * Develop and optimize Spark applications and ETL pipelines for performance and scalability * Collaborate with product managers and analysts to design and implement data models and data warehousing solutions * Work with cross-functional teams to integrate data systems with other applications and services * Ensure data quality, integrity, and security across all data systems * Develop and maintain unit test cases for data pipelines and applications * Implement CI/CD pipelines for automated testing and deployment * Collaborate with the DevOps team to ensure seamless deployment of data applications * Stay up to date with industry trends and emerging technologies in big data and cloud computing Requirements: * At least 5 years of experience in data engineering, big data, or a related field * Proficiency in Spark, including Spark Core, Spark SQL, and Spark Streaming * Experience with AWS EMR, including cluster management and job optimization * Strong skills in Python, including data structures, algorithms, and software design patterns * Hands-on experience with Databricks, including Databricks Lakehouse (advantageous) * Experience with optimizing Spark applications and ETL pipelines for performance and scalability * Good understanding of data modeling, data warehousing, and data governance * Experience with CI/CD tools such as Jenkins, GitLab, or CircleCI (advantageous) * Strong understanding of software development principles, including unit testing and test-driven development * Ability to design and implement scalable data solutions that meet business requirements * Strong problem-solving skills, with the ability to debug complex data issues * Excellent communication and collaboration skills, with the ability to work with cross-functional teams Nice to Have: * Experience with Databricks Lakehouse * Knowledge of data engineering best practices and design patterns * Experience with agile development methodologies, such as Scrum or Kanban Comments for Suppliers: Notes: The team is looking for a Data Engineer with experience in big data infrastructure and system migration. | |