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Senior Data Engineer - Remote / TelecommuteCynet Systems • United States
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Senior Data Engineer - Remote / Telecommute

Cynet Systems
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Senior Data Engineer
The Senior Data Engineer will design, develop, and maintain scalable enterprise data solutions supporting analytics, reporting, and business intelligence initiatives. This role requires strong expertise in Snowflake, Power BI, data modeling, and data integration technologies within complex enterprise environments. Requirement/Must Have:
5–8 years of progressive experience in data engineering within enterprise environments. Expert-level proficiency in Snowflake including data warehousing, performance optimization, and complex query development. Expert-level experience with Power BI for dashboard, report, and visualization development. Strong expertise in data modeling using Star Schema and Snowflake methodologies. Advanced experience with Electronic Data Interchange (EDI) systems and external data integration. Strong understanding of scalable data architectures and pipeline development. Experience:
Experience designing and deploying scalable data ingestion and aggregation pipelines. Hands-on experience with large-scale structured and unstructured data processing. Experience supporting data validation requests and troubleshooting pipeline failures. Experience performing peer code reviews and maintaining coding standards. Experience mentoring junior data engineers and supporting technical growth. Databricks experience is preferred. Retail and eCommerce industry experience is preferred. Responsibilities:
Design, develop, deploy, and maintain robust data solutions using Snowflake and Power BI. Architect and implement scalable data ingestion pipelines from diverse data sources. Develop and optimize aggregation pipelines for analytics and reporting solutions. Ensure scalability, maintainability, and documentation of all developed code. Provide technical ownership for data platform components and ensure performance reliability. Support data pipeline failures and business stakeholder requests for validation and analysis. Contribute to the architectural evolution of the enterprise data analytics platform. Translate complex business requirements into technical specifications and actionable user stories. Conduct peer code reviews to ensure code quality and architectural compliance. Communicate technical solutions and recommendations effectively to management and cross-functional teams. Resolve complex data issues and ensure data accuracy and system stability. Mentor junior engineers and promote best practices within the engineering team. Evaluate and recommend emerging tools and technologies to enhance the data ecosystem. Should Have:
Familiarity with Databricks and modern data processing platforms. Understanding of Retail and eCommerce business processes and analytics. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Strong communication and collaboration skills. Skills:
Snowflake Power BI Data Engineering Data Modeling Star Schema Snowflake Schema EDI SQL Data Warehousing Data Pipelines ETL/ELT Databricks Business Intelligence Analytics Performance Optimization Data Integration Technical Documentation Code Review Problem Solving Qualification And Education:
Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field preferred. Equivalent combination of education and relevant work experience will also be considered.
  • United States

Sprachkenntnisse

  • English
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