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We are looking for an experienced Senior Data Engineer to join our team in Denver, Colorado. In this role, you will design and implement data solutions that drive business insights and operational efficiency. You will collaborate with cross-functional teams to manage data pipelines, optimize workflows, and ensure the integrity and security of data systems.
Job Responsibility:
Develop and maintain robust data pipelines to process and transform large datasets effectively
Advise on tools / technologies to implement
Collaborate with stakeholders to understand data requirements and translate them into technical solutions
Design and implement ETL processes to facilitate seamless data integration
Optimize data workflows and ensure system performance meets organizational needs
Work with Apache Spark, Hadoop, and Kafka to build scalable data systems
Create and maintain SQL queries for data extraction and analysis
Ensure data security and integrity by adhering to best practices
Troubleshoot and resolve issues in data systems to minimize downtime
Provide technical guidance and mentorship to less experienced team members
Stay updated on emerging technologies to enhance data engineering practices
Requirements:
At least 7 years of experience in data engineering or a related field
Experience working with data on prem, cloud, and 3rd party environments
Strong knowledge of Python programming for data processing tasks
Hands-on experience with ETL processes and tools
Expertise in SQL for data manipulation and querying
Familiarity with Microsoft Fabric and its applications
Ability to design scalable and secure data systems
Excellent problem-solving skills and attention to detail