Select Minds LLC
Benefits:
Hybrid work environment
Competitive salary
Opportunity for advancement
Title:
Data Engineer Location:
Dallas, TX (Hybrid) Interview:
In-person Job Summary
Work with limited supervision to design, develop, and support data engineering and analytics solutions. Collaborate with cross-functional teams to create customized data infrastructure, run comprehensive tests to isolate and resolve errors, and ensure system reliability. Continuously update and enhance data systems to adapt to changing business requirements, ensuring scalability, efficiency, and accuracy across analytics platforms. Responsibilities
Design, assemble, and manage large, complex datasets fulfilling business requirements. Develop and implement process improvements, including infrastructure redesign for scalability, optimized data delivery, and automation of manual workflows. Build robust data infrastructure for efficient ETL processes from multiple sources using AWS and SQL technologies. Create analytical tools and data pipelines to provide actionable insights into key business metrics. Collaborate with Data, Product, Design, and Executive teams to support data infrastructure needs and resolve technical challenges. Innovate and adapt technology or tools to address evolving business and user needs. Perform additional duties as assigned by leadership. Experience
Intermediate expertise in cloud infrastructure and Data Lake environments. Strong ETL experience ensuring source-to-target data integrity. Proficiency with various file formats including Delimited Text, Fixed Width, XML, JSON, and Parquet. Experience with ServiceBus configuration or equivalent AWS cloud services. Hands-on experience with unit testing, code quality tools, CI/CD, and container security practices. Background in Agile development with active participation in Agile ceremonies. Flexible work-from-home options are available.
#J-18808-Ljbffr
Data Engineer Location:
Dallas, TX (Hybrid) Interview:
In-person Job Summary
Work with limited supervision to design, develop, and support data engineering and analytics solutions. Collaborate with cross-functional teams to create customized data infrastructure, run comprehensive tests to isolate and resolve errors, and ensure system reliability. Continuously update and enhance data systems to adapt to changing business requirements, ensuring scalability, efficiency, and accuracy across analytics platforms. Responsibilities
Design, assemble, and manage large, complex datasets fulfilling business requirements. Develop and implement process improvements, including infrastructure redesign for scalability, optimized data delivery, and automation of manual workflows. Build robust data infrastructure for efficient ETL processes from multiple sources using AWS and SQL technologies. Create analytical tools and data pipelines to provide actionable insights into key business metrics. Collaborate with Data, Product, Design, and Executive teams to support data infrastructure needs and resolve technical challenges. Innovate and adapt technology or tools to address evolving business and user needs. Perform additional duties as assigned by leadership. Experience
Intermediate expertise in cloud infrastructure and Data Lake environments. Strong ETL experience ensuring source-to-target data integrity. Proficiency with various file formats including Delimited Text, Fixed Width, XML, JSON, and Parquet. Experience with ServiceBus configuration or equivalent AWS cloud services. Hands-on experience with unit testing, code quality tools, CI/CD, and container security practices. Background in Agile development with active participation in Agile ceremonies. Flexible work-from-home options are available.
#J-18808-Ljbffr