Data Engineer
VDart Inc
Senior Data Engineer
Remote - within the USA
Contract to hire
Job Description
Remote - within the USA
Contract to hire
Job Description
- Possessing 5-8 years of progressive experience in data engineering, demonstrating a strong track record of designing, developing, and deploying robust data solutions within complex enterprise environments.
- Demonstrated expert-level proficiency in Snowflake, including advanced capabilities in data warehousing, performance optimization, and complex query development for large-scale datasets.
- Proven expert-level experience with Power BI, encompassing the design and development of sophisticated dashboards, reports, and data visualizations to support critical business intelligence needs.
- Extensive expert-level experience in data modeling, specifically with Star Schema and Snowflake methodologies, to create efficient and scalable data architectures.
- Advanced proficiency in Electronic Data Interchange (EDI) systems, with practical experience in integrating, processing, and managing data exchanges with external partners.
- Familiarity with Databricks platform capabilities, including experience in developing and deploying data processing workflows and machine learning solutions.
- A strong understanding of the Retail and eCommerce domain, with experience applying data engineering principles to solve industry-specific challenges.
- Design, develop, deploy, and maintain robust data solutions leveraging Snowflake and PowerBI.
- Architect and implement scalable data ingestion pipelines from diverse sources, ensuring efficient transmission of large-scale structured and unstructured data between systems.
- Develop and optimize data aggregation pipelines to feed critical analytics and reporting solutions, ensuring data integrity and performance.
- Ensure all developed code is scalable, adheres to established company standards, and is thoroughly documented for maintainability and future enhancements.
- Drive technical ownership for specific data platform components, ensuring their reliability, performance, and alignment with overall architectural goals.
- Support pipeline failures and request for data validation / queries from business stakeholders
- Contribute to the architectural design and evolution of the data analytics platform, proposing innovative solutions and best practices.
- Lead the translation of complex business requirements into detailed technical specifications and actionable user stories, including acceptance criteria and tasks.
- Conduct thorough peer code reviews to uphold high standards of code quality, performance, and adherence to architectural guidelines.
- Communicate complex technical solutions, challenges, and recommendations clearly and effectively to management and cross-functional teams.
- Supervise and proactively resolve complex data issues, applying creative problem-solving skills to ensure data accuracy and system stability.
- Mentor junior data engineers, sharing expertise and fostering their technical growth within the team.
- Maintain in-depth knowledge of the evolving data ecosystem, industry trends, and emerging technologies to act as a domain expert.
- Evaluate and recommend new tools and technologies to enhance the current data stack and efficiently address evolving data needs.
Vacancy posted 2 days ago
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