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Technology and IT

Senior Data Engineer Contract

Summary:

  • The position is for a Senior Data Engineer responsible for designing, developing, and maintaining scalable data solutions.
  • The role supports business insights through data infrastructure and collaborates closely with cross-functional teams.
  • The position is contract-based and fully remote.

Responsibilities:

  • Design, build, and maintain efficient ETL/ELT pipelines using Azure Data Factory to extract, transform, and load data from Salesforce into Azure SQL databases.
  • Leverage API integrations to connect and consolidate data from diverse sources.
  • Utilize Python for advanced data processing tasks and automation scripts.
  • Integrate Salesforce data with other enterprise systems and applications within the Azure environment.
  • Ensure data quality and integrity across Salesforce and Azure SQL databases through effective data validation and cleansing processes.
  • Develop and maintain data models and schemas to support reporting and analytics needs.
  • Optimize and monitor Azure SQL databases for performance, scalability, and availability.
  • Implement best practices for data storage, indexing, and partitioning.
  • Use version control systems (e.g., Git) to manage database scripts, configurations, and code changes.
  • Develop and automate data workflows using Azure Logic Apps and Power Automate.
  • Implement automation solutions to reduce manual efforts and minimize errors.
  • Implement data governance practices and security controls for sensitive information.
  • Ensure compliance with data protection regulations and organizational standards.
  • Collaborate with business stakeholders, data analysts, and developers to understand data needs.
  • Develop Power BI dashboards and reports for actionable insights.
  • Provide technical guidance and mentoring to junior data engineers and team members.
  • Create and maintain comprehensive documentation of data processes, configurations, and automation scripts.
  • Develop automated reporting mechanisms to monitor data pipeline performance.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in data engineering, with a focus on cloud-based solutions and data pipeline development.
  • Proficiency in Salesforce data integration and experience with Salesforce APIs (REST, SOAP).
  • Strong SQL skills and extensive experience with Azure SQL Database and Azure Data Factory.
  • Solid experience with ETL/ELT tools and techniques; familiarity with Azure Data Factory and Databricks.
  • Proficiency in Python for data processing and automation tasks.
  • Experience with version control systems like Git.
  • Knowledge of Azure Logic Apps and Power Automate.
  • Experience with building and deploying CI/CD pipelines using Azure DevOps.
  • Hands-on experience with Power BI for data visualization and reporting.
  • Strong understanding of Azure Cloud services, including Azure SQL, Azure Data Factory, Azure Logic Apps, and Azure DevOps.
  • Knowledge of data governance and security best practices in a cloud environment.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and the ability to explain technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a team environment and lead initiatives independently.

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