The candidate requirements are:
As a Data Engineer, you will be responsible for designing, building, and maintaining efficient and scalable data pipelines and data-centric solutions. You will collaborate closely with cross-functional IT teams, data analysts, data scientists, and other stakeholders to ensure the availability, reliability, and accessibility of data to support various business needs.
Key Responsibilities:
• Data Pipeline Development: Design, develop, and optimize data pipelines for data ingestion, transformation, and storage.
• ETL/ELT Processes: Build and manage Extract, Transform, Load (ETL) processes to ensure timely, clean, and accurate data for analytics and reporting.
• Data Integration: Integrate data from various internal and external data sources into the organization's data platform.
• Database Management: Work with relational databases (e.g., SQL Server) and potentially non-relational databases to store, retrieve, and manage large datasets.
• Data Governance: Implement and enforce data quality, governance, and security policies to ensure compliance with regulatory and company standards.
• Optimization: Optimize data workflows, query performance, and storage solutions for efficiency and cost-effectiveness.
• Automation: Automate repetitive data processes and workflows to improve efficiency and reduce errors.
• Monitoring & Troubleshooting: Implement monitoring, alerting, and troubleshooting processes for data systems to ensure high availability and performance.
Qualifications:
• Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Must have experience with the following:
o 4+ years of experience in data engineering, software development, or related field.
o Proficiency in SQL with the ability to write complex queries, optimize performance, and manage relational databases
o Must have experience with SAP BODS
o Advanced knowledge of software development lifecycle and project lifecycle principles
o Proficiency in database development and various programming/scripting languages.
o Strong understanding of data warehousing concepts.
o Familiarity with version control tools like Git.
o Experience with cloud platforms and their data-related services is preferred but not required.
• Soft Skills:
o Excellent problem-solving and analytical skills.
o Strong communication skills with the ability to work in cross-functional teams.
o Ability to manage multiple tasks in a fast-paced environment.
o Strong attention to detail and commitment to delivering high-quality work.
- Candidate must be able to effectively communicate in English (written & verbal)
- Candidate must have permanent authorization to work in the USA for any employer
- Corp to corp candidates will not be considered.
LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status.
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Colorado Pay Range:
20.0 - 125.00/