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Data Engineer

4 weeks ago

Irving, Texas, United States Yoh Services LLC Full time
Job Summary: We are seeking an experienced Data Engineer to join our team at Yoh Services LLC. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines and ETL jobs to ensure effective data access and interpretation across the enterprise.

Key Responsibilities:
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Manage and support data engineering platform tools using technologies like Microsoft SQL Server, SSMS, SSIS, REST APIs, and Azure Cloud Platform to move data from various sources.
  • Design and develop a robust data engineering infrastructure to support optimal ETL processes from diverse sources, utilizing SQL, Microsoft Azure, AWS, and advanced big data technologies.
  • Develop and perform unit tests; maintain up-to-date code in source control.
  • Collaborate on code reviews and adhere to change management processes to deploy changes to production systems.
  • Troubleshoot issues reported by users and perform root cause analysis for production issues with minimal guidance.
  • Participate in on-call rotation to provide support and implement fixes as needed.

Requirements:
  • 5+ years in a Data Engineer role.
  • Graduate degree in Computer Science, Engineering, Mathematics, Information Systems, or a related technical discipline.
  • Proficient in T-SQL, Stored Procedures, Functions, and SSIS with the capability to implement REST APIs.
  • Experienced with cloud data platforms like Microsoft Azure and Microsoft Fabric.
  • Advanced working SQL knowledge and experience with relational databases, query authoring (SQL), and familiarity with a variety of databases.
  • Experience building and optimizing big data pipelines, architectures, and data sets.
  • Strong analytic skills related to working with unstructured and semi-structured datasets.
  • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience in unit testing, data quality validation, and data analysis.
  • Excellent verbal and written communication skills.
  • Good interpersonal skills with proven problem-solving abilities.
  • Knowledge of cloud data and platform security, with a preference for AWS and Azure.