Cloud Data Engineer - Remote | WFH

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Job Overview

As a Cloud Data Engineer at Get It Recruit - Information Technology, you will play a crucial role in designing, developing, and maintaining data pipelines that leverage cloud technologies. This position requires a strong understanding of data architecture, data modeling, and ETL processes. You will collaborate with cross-functional teams to ensure the seamless flow of data, enabling analytical capabilities and data-driven decision-making across the organization.

Job Responsibilities

• Design, implement, and manage data pipelines for collecting, processing, and analyzing data in a cloud environment.
• Optimize data storage and retrieval processes to enhance performance and efficiency.
• Collaborate with data scientists and analysts to understand their data requirements and support data-driven insights.
• Ensure data quality, integrity, and security throughout the lifecycle of the data products.
• Monitor and troubleshoot ETL processes and data flows to ensure smooth operation.
• Stay updated with emerging cloud technologies and make recommendations for enhancements and upgrades.
• Create and maintain comprehensive documentation for data processes, workflows, and architecture.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• A minimum of 3 years of experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational database management systems.
• Hands-on experience with at least one cloud platform (AWS, Azure, or Google Cloud).
• Knowledge of data warehousing solutions and ETL tools (e.g., Apache NiFi, Talend, or Informatica).
• Familiarity with programming languages such as Python, Java, or Scala.
• Experience in data modeling and implementing scalable data architectures.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.

Technologies & Tools

The Cloud Data Engineer role requires familiarity with a variety of technologies and tools. The position predominantly utilizes cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. Experience with database technologies including PostgreSQL, MySQL, or NoSQL databases is essential. Additionally, knowledge of data processing frameworks like Apache Spark, data orchestration tools such as Apache Airflow, and version control systems like Git will greatly enhance the effectiveness in this role.

Ideal Candidates

Ideal candidates for the Cloud Data Engineer position will possess a strong technical foundation combined with excellent analytical skills. They will be proactive problem solvers who value collaboration and communication, fostering teamwork across departments. A driven individual with a passion for data and cloud technologies, who is eager to learn and adapt to new challenges, will thrive in this dynamic environment. Additionally, a candidate who demonstrates strong attention to detail and a commitment to delivering high-quality results will align well with the company's goals.