Cloud Data Engineer / AWS - Remote | WFH

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Job Overview

The Cloud Data Engineer will play a critical role in designing, implementing, and optimizing data pipelines and architectures within cloud environments, predominantly leveraging AWS services. This position involves collaborating with data scientists and analysts to manage and facilitate the flow of data, ensuring robust and scalable solutions that support analytics and reporting requirements. The successful candidate will be responsible for developing data integration solutions, automating data processing workflows, and establishing best practices in data governance and architecture.

Job Responsibilities

• Design, develop, and maintain cloud-based data integration processes and architectures using AWS services.
• Collaborate with stakeholders to understand and translate business requirements into technical specifications.
• Optimize and automate data ingestion and transformation workflows for improved efficiency and performance.
• Implement data security and governance standards to ensure compliance with regulations and best practices.
• Monitor and troubleshoot data pipeline performance and integrity, rectifying issues as necessary.
• Evaluate new data technologies and methodologies to drive continuous improvement in data processing and analytics capabilities.
• Document data architecture, processes, and workflows to ensure clarity and knowledge sharing among team members.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in similar roles, particularly involving cloud technologies.
• Strong proficiency in AWS services, including but not limited to S3, Redshift, Lambda, and Glue.
• Experience with data modeling, ETL processes, and database management systems (both SQL and NoSQL).
• Knowledge of programming languages such as Python, SQL, or Java for data manipulation and analysis.
• Familiarity with data warehousing concepts and tools (e.g., Snowflake, BigQuery).
• Excellent analytical and problem-solving abilities, with an attention to detail.

Technologies & Tools

The Cloud Data Engineer will be utilizing a variety of technologies and tools tailored for data engineering and cloud operations. Key tools include AWS services such as S3 for storage, AWS Lambda for serverless computing, and AWS Glue for data cataloging and ETL processes. Additionally, proficiency in SQL and programming languages like Python will be essential for data manipulation and scripting. Familiarity with data visualization tools such as Tableau or Power BI may also be advantageous for this role.

Ideal Candidates

The ideal candidates for this position will possess a proactive and innovative mindset, demonstrating a strong capacity for problem-solving in a fast-paced environment. They will be detail-oriented, with a passion for working with data and technology. Strong communication skills are essential to effectively collaborate across interdisciplinary teams. A willingness to learn and adapt to emerging tools and practices in the field of data engineering will be highly valued, as well as a commitment to maintaining best practices in data governance and security.