American Business Solutions
Engagement Type
Contract
Required/Desired Skills
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
Skills:
SQL, Python, or PySpark,Azure Data Factory, Dataflows, Synapse Pipelines
Contract
Required/Desired Skills
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
Skills:
SQL, Python, or PySpark,Azure Data Factory, Dataflows, Synapse Pipelines