Data Engineer II
4 weeks ago
Responsibilities
Data Pipeline Operations Design, build, and maintain robust and scalable data pipelines to ingest, transform, and deliver structured and unstructured data from multiple sources. Ensure high-quality data by implementing monitoring, validation, and error-handling processes. Platform Engineering & Optimization Create and update data models to represent the structure of the data. Design, implement, and maintain database systems. Optimize database performance and ensure data integrity. Troubleshoot and resolve database issues. Build and manage data warehouses for storage and analysis of large datasets. Collaborate on data modeling, schema design, and performance optimization for large-scale datasets. Data Quality and Governance: Implement and enforce data quality standards. Contribute to data governance processes and policies. Scripting and Programming: Develop and automate data processes through programming languages Python, Java, SQL). Implement data validation scripts and error handling mechanisms. Version Control: Use version control systems Git) to manage codebase changes for data pipelines. Monitoring and Optimization: Implement monitoring solutions to track the performance and health of data systems. Optimize data processes for efficiency and scalability. Cloud Platforms: Work with cloud platforms AWS, Azure, GCP) to deploy and manage data infrastructure. Utilize cloud-based services for data storage, processing, and analytics. Security: Implement and adhere to data security best practices. Ensure compliance with data protection regulations. Troubleshooting and Support: Provide support for data-related issues and participate in root cause analysis.Skills
Expertise in data modeling, database design, and data warehousing. Proficient in SQL and programming languages such as Python, Java, or Scala. Cloud-native architecture expertise (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation).Experience and Qualifications
Bachelor’s/Master’s degree in engineering (computer science, information systems) with 3-5 years of experience in data engineering, BI engineering, and data warehouse development. Excellent command on SQL and one or more programming languages, preferably Python or Java. Knowledge of Flink, Airflow, Apache Spark, DBT (good to have), Athena / Presto Experience working with Kubernetes. Equal Opportunity Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success-
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