Job Description

Hope you are doing well. We have an open position for a Data Analyst at Richmond, Virginia . Please go through the below description and let me know your interest. If you are interested, kindly share a copy of your resume along with the rate / salary and best time to reach you.

Client: Virginia Elect

Location: Richmond, VA 23219 (Open for Remote)

Job Id: 762942

Responsibilities:

• Design, build, and maintain ETL/ELT pipelines in enterprise data environments using Azure-native tools.
• Develop and manage data integration solutions using Azure Data Factory, Dataflows, Synapse Pipelines, or equivalent orchestration tools.
• Implement complex data transformation logic and data cleansing workflows using SQL, Python, or PySpark.
• Work with Delta Lake and Azure Data Lake Storage Gen2, handling data in JSON, Parquet, and other modern formats.
• Design and develop modular, reusable, and metadata-driven pipeline components with robust error handling and logging mechanisms.
• Ensure responsible management of sensitive data using data masking, PII handling, and encryption techniques.
• Establish data quality frameworks, including automated validation, reconciliation, and logging methods.
• Apply DevOps and DataOps best practices such as versioning, automated testing, and CI/CD pipelines for data engineering workflows.
• Support data publishing for oversight, regulatory compliance, and open data initiatives.
• Collaborate with stakeholders to leverage public data sources and manage publishing workflows for transparency datasets.

Required Skills & Experience:

• 3+ years of experience in building and maintaining ETL/ELT pipelines using Azure-native tools.
• Hands-on expertise with Azure Data Factory, Dataflows, Synapse Pipelines, or similar orchestration platforms.
• Proficiency in SQL, Python, or PySpark for data transformation and cleansing.
• Experience with Delta Lake, Azure Data Lake Storage Gen2, and working with JSON, Parquet formats.
• Expertise in building modular and reusable pipeline components using metadata-driven approaches and implementing robust error handling.
• Strong understanding of data masking, PII handling, and encryption techniques.
• Proven experience with data quality frameworks, including automated validation and data reconciliation.
• Solid grasp of DevOps/DataOps practices, including version control, testing, and CI/CD for data pipelines.
• Experience supporting data publishing for oversight, regulatory, or open data initiatives.

Highly Desired:

• Familiarity with public data sources, government transparency datasets, and publishing workflows.
• Certifications such as DP-203 (Azure Data Engineer Associate) or Azure Solutions Architect.

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