Data Engineer
24 hours ago
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.
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