Data Engineer: Building Scalable Data Pipelines
6 days ago
This role is a crucial part of our data engineering team, responsible for designing and maintaining scalable data pipelines to drive business decisions.
We are seeking an experienced Data Engineer to join our team in Minneapolis, MN. The ideal candidate will have hands-on experience with cloud platforms like AWS and Azure, as well as proficiency in languages such as Python and PHP.
Key Responsibilities:- Data Processing and Transformation: Implement efficient data processing and transformation using state-of-the-art tools and processes.
- Data Pipeline Development: Design, develop, and maintain robust data pipelines for ingesting, transforming, and loading structured and unstructured data.
- Data Infrastructure: Manage and optimize data storage solutions, including databases, operational data stores, and data warehouses, to ensure high performance, reliability, and security.
- Data Quality and Governance: Implement data quality checks, monitoring, and governance processes to ensure data accuracy, consistency, and compliance with regulatory requirements.
- Hands-on experience with building data-focused processes in languages such as Laravel/PHP, Python, or other languages.
- Knowledge and experience working in cloud platforms like AWS and/or Azure.
- Experience working with complex data objects in various formats like JSON, XML, and across different DB designs like MySQL, MS SQL, and Salesforce DB's.
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.
We offer a competitive salary ranging from $110,000 to $130,000, based on experience, as well as a range of benefits including medical, dental, vision, life insurance, and 401k with employer match.
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