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Role Overview

We seek a Data Infrastructure Engineer to join us full-time, dedicated to designing, developing, and preserving robust data pipelines and infrastructure. This position entails collaborating with various teams to deliver dependable data solutions that drive business insights and aid decision-making.

Primary Responsibilities

Create, enhance, and maintain efficient data pipelines for large dataset extraction, transformation, and loading.
Build and sustain data warehouses and data lakes supporting both analytical and operational reporting needs.
Work closely with data scientists and analysts to guarantee data availability and accuracy.
Oversee performance of data pipelines, resolving any issues to maintain reliability and optimal operation.
Document data architecture designs, workflows, and standards to facilitate team use and regulatory compliance.

Required Qualifications

Strong command of SQL along with experience in relational and NoSQL database technologies.
Experience utilizing ETL/ELT tools such as Apache Airflow, Apache Spark, or similar frameworks.
Understanding of data modeling concepts and data warehouse design methodologies.
Familiarity with cloud-based platforms including AWS, Google Cloud Platform, or Microsoft Azure for managing data infrastructure.
Excellent analytical and problem-solving abilities focusing on scalability and system performance.

About the Opportunity

This position provides an excellent chance to contribute to a global leader in software development. You will play a crucial role in advancing data-driven solutions aimed at enhancing customer experiences, all while being part of a team that prizes technical excellence and innovative data engineering practices.

Equal Opportunity Employment

The hiring process is skill and merit-based, embracing diversity and inclusivity. All candidates with the appropriate qualifications and expertise are encouraged to apply, regardless of background or previous job experience.

Data Infrastructure Engineer