Cloud Data Platform Engineer (AWS)

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Written by AI from the job title and company, not by Bee Talent Solutions, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Cloud Data Platform Engineer (AWS) at Bee Talent Solutions is responsible for designing, implementing, and maintaining scalable and robust cloud-based data platforms. The engineer will work closely with data scientists, analysts, and other stakeholders to ensure efficient data processing and storage solutions. This role combines expertise in cloud infrastructure, data architecture, and security best practices to provide innovative solutions for data management and analytics.

Job Responsibilities

• Design and implement AWS data platform architectures including data lakes and warehousing solutions.
• Develop and maintain ETL (Extract, Transform, Load) pipelines to ensure high-quality data availability.
• Collaborate with cross-functional teams to gather data requirements and translate them into effective technical solutions.
• Monitor and optimize the performance of data systems, ensuring reliability and security compliance.
• Implement data governance and management strategies in alignment with organizational policies.
• Provide ongoing support and troubleshooting for data pipelines and related infrastructure.
• Stay updated with industry trends and best practices in cloud technologies and data engineering.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering or related roles, preferably within AWS environments.
• Strong proficiency in AWS services such as S3, Redshift, Lambda, Glue, and EMR.
• Experience with programming languages such as Python, Java, or Scala for data manipulation and transformation.
• Familiarity with SQL and NoSQL databases, as well as data modeling concepts.
• Knowledge of data governance frameworks and compliance standards.
• Excellent problem-solving and analytical skills, with a focus on data quality.

Technologies & Tools

The Cloud Data Platform Engineer will leverage a range of technologies and tools including AWS Cloud Services (S3, Redshift, DynamoDB, etc.), ETL tools such as Apache Airflow or AWS Glue, data visualization software like Tableau or Power BI, and programming languages such as Python or SQL for data manipulation. Familiarity with DevOps tools for CI/CD pipelines and containerization (Docker, Kubernetes) is also beneficial.

Ideal Candidates

Ideal candidates for the Cloud Data Platform Engineer position are innovative problem-solvers who thrive in a fast-paced and dynamic environment. They exhibit strong attention to detail, acute analytical thinking, and a passion for data-driven solutions. Effective communication skills and the ability to work collaboratively within teams are essential. Candidates should also demonstrate an eagerness to learn and adapt to new technologies, with a proactive approach to implementing best practices in data management and engineering.