Lead Data Engineer
4 weeks ago
Position Overview
At International, we're shaping the future of data-driven innovation as a Lead Data Engineer. As a key member of our team, you'll leverage cutting-edge analytics to unlock the potential within our data, guiding critical business decisions and propelling sustainable growth.
Key Responsibilities
- Design, develop, optimize, and maintain data pipelines, storage, and compute components using Azure Services.
- Understand our Data Platforms & Services strategy, information architecture, and build modern data lakes to support International's data needs.
- Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
- Lead the evaluation, implementation, and deployment of emerging tools to modernize our data platform.
- Partner with analysts and architects to develop technical architectures for data engineering projects.
Requirements
- Bachelor's degree.
- At least 9 years of data engineering, data quality, and/or analytics or statistical analysis experience.
- At least 2 years of lead experience.
Additional Requirements
- Qualified candidates must be legally authorized to be employed in the United States.
- International does not anticipate providing employment-related work sponsorship for this position.
Desired Skills
- Technology experience with software development, data engineering, and systems architecture.
- Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics, or equivalent.
- Strong proficiency in PLSQL, Spark, PySpark, Python, and Pandas.
- Hands-on experience in Azure Data Factory, Synapse, ADLS, and Event Hub.
- Solid experience developing and maintaining data warehouses with Big Data technologies.
- Experience in modernizing Hadoop, Teradata on-prem data warehouses would be a plus.
- Experience with DevOps tools like Azure DevOps.
- Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
- Bias for action, with ability to deliver outstanding results through task prioritization and time management.
- Intellectual curiosity to understand and answer questions.
- Intellectual humility to leverage the expertise of others.
- Exemplary organizational skills with attention to detail and accuracy.
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