Cloud Data Engineer - Remote | WFH

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Get It Recruit - Information Technology, so some details may not match this job. The employer's own page has the real description.

Overview

The Cloud Data Engineer at Get It Recruit - Information Technology will play a critical role in the design, development, and management of robust data solutions in a cloud environment. This remote position entails working closely with cross-functional teams to gather requirements, design innovative data pipelines, optimize data storage solutions, and ensure the efficient processing of data to derive actionable insights. The ideal candidate will leverage their technical expertise to enhance data capabilities and contribute to the overall data strategy of the organization.

Job Responsibilities

• Develop and maintain scalable data pipelines using cloud technologies to ensure high-quality data delivery and accessibility.
• Collaborate with data scientists and analysts to understand data needs and provide well-structured data sets for analysis.
• Implement best practices for data governance, data quality, and compliance within cloud environments.
• Optimize existing data architecture for performance and scalability based on evolving business needs.
• Automate data extraction, transformation, and loading processes using tools as required.
• Monitor and troubleshoot data pipeline performance, addressing issues proactively to minimize downtime.
• Document data workflows, architecture, and processes to ensure knowledge transfer and compliance with internal standards.

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 in cloud environments.
• Proficiency in SQL and experience with database technologies such as PostgreSQL, MySQL, or similar.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with ETL tools and data pipeline orchestration platforms like Apache Airflow or Talend.
• Strong programming skills in languages such as Python, Java, or Scala.
• Solid understanding of data modeling, data warehousing concepts, and data governance principles.

Technologies & Tools

The Cloud Data Engineer will primarily utilize technologies such as Amazon Web Services (AWS) or Google Cloud Platform (GCP) for cloud storage and computing. The role will involve the use of SQL for data manipulation and various ETL tools like Apache NiFi and Apache Airflow for data processing. Additionally, programming languages like Python or Java will be integral to developing scripts and automating data pipelines throughout the workflow.

Ideal Candidates

The ideal candidates for this position will exhibit a strong analytical mindset and a proactive approach to problem-solving. They should possess excellent communication skills, capable of conveying complex technical ideas to non-technical stakeholders. Being a self-starter who enjoys working independently while also thriving in a collaborative team environment is essential. A demonstrated ability to adapt to new technologies and a passion for leveraging data to drive business decisions will further enhance their fit for this role.