Data Engineer - Remote
📋 Role Overview & Responsibilities
Data Engineer - Remote - Competitive Salary + Bonus + Benefits
DescriptionWe are looking for a skilled Data Engineer to join our established client on a remote basis. As a Data Engineer, you will be responsible for developing and maintaining the data infrastructure of our organization. You will work closely with our data scientists, software engineers, and other stakeholders to ensure the smooth flow and storage of data.
In this role, you will play a critical part in designing, implementing, and managing the entire data pipeline, from data ingestion to data transformation and storage. You will be responsible for developing and maintaining scalable and efficient data pipelines, ensuring data quality and integrity, and optimizing data workflows. Additionally, you will collaborate with cross-functional teams to gather data requirements and provide technical expertise on data-related projects.
ResponsibilitiesDevelop, maintain, and optimize data pipelines to ensure efficient data ingestion, transformation, and storage.Implement and manage data modeling and schema design to support data analytics and reporting requirements.Collaborate with data scientists and software engineers to implement machine learning models and algorithms into production systems.Monitor and troubleshoot data pipelines to identify and resolve data quality issues or performance bottlenecks.Implement and maintain data governance policies, data security measures, and data privacy regulations.Collaborate with stakeholders to gather data requirements and provide technical recommendations on data-related projects.Stay up-to-date with the latest trends and technologies in data engineering and apply them to enhance data infrastructure and workflows.
RequirementsBachelor's degree in Computer Science, Information Systems, or a related field.Proven experience as a Data Engineer or similar role, with a strong understanding of data engineering concepts and best practices.Proficient in programming languages such as Python or Java, and experience working with SQL and NoSQL databases.Experience with data warehousing concepts, ETL processes, and cloud-based data platforms (e.g., AWS, GCP, or Azure).Strong understanding of data modeling techniques, data structures, and algorithms.Familiarity with data governance frameworks, data security measures, and data privacy regulations.Excellent problem-solving and analytical skills, with the ability to identify and troubleshoot data-related issues.Strong communication skills and the ability to collaborate effectively with cross-functional teams.
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