Skill | Required / Desired | Amount | of Experience |
At least 3 years of experience building and maintaining ETL/ELT pipelines in enterprise environments using Azure-native tools. | Required | 3 | Years |
Hands-on expertise with Azure Data Factory, Dataflows, Synapse Pipelines, or similar orchestration tools. | Required | 3 | Years |
Proficiency in SQL, Python, or PySpark for transformation logic and data cleansing workflows. | Required | 3 | Years |
Experience with Delta Lake, Azure Data Lake Storage Gen2, JSON, and Parquet formats. | Required | 3 | Years |
Ability to build modular, reusable pipeline components using metadata-driven approaches and robust error handling. | Required | 3 | Years |
Familiarity with public data sources, government transparency datasets, and publishing workflows. | Required | 3 | Years |
Knowledge of data masking, PII handling, and encryption techniques to manage sensitive data responsibly. | Required | 3 | Years |
Experience with data quality frameworks, including automated validation, logging, and data reconciliation methods. | Required | 3 | Years |
Strong grasp of DevOps/DataOps practices, including versioning, testing, and CI/CD for data pipelines. | Required | 3 | Years |
Experience supporting data publishing for oversight, regulatory, or open data initiatives is highly desirable. | Required | 3 | Years |
Certifications such as DP-203 (Azure Data Engineer Associate) or Azure Solutions Architect are a plus. | Highly desired | 3 | Years |
Description We are looking for a skilled Billing Specialist to join our legal team in Los Angeles, California. This role is essential in managing the firm's billing operations, ensuring the accurate preparation and submission of invoices while maintaining compliance with...
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