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.

Job Overview

As a Cloud Data Engineer at Get It Recruit - Information Technology, you will be instrumental in designing, constructing, and maintaining scalable data pipelines and architectures that enable effective data management and analytics. Your role will encompass a variety of responsibilities, including data integration from various sources, developing robust data models, and ensuring data accessibility and reliability. By collaborating with cross-functional teams, you will facilitate data-driven decisions and optimize data solutions to align with business objectives.

Job Responsibilities

• Design and implement ETL processes for data ingestion and transformation.
• Develop and maintain data architecture and infrastructure to support analytics activities.
• Optimize data storage solutions for performance, reliability, and scalability.
• Perform data quality checks and resolve data inconsistencies to ensure accuracy.
• Collaborate with data scientists and analysts to understand data needs and deliver workable solutions.
• Monitor and troubleshoot data pipelines and systems to ensure optimal performance.
• Document processes and data flows for future reference and compliance.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering or a similar role within cloud environments.
• Proficiency in SQL and experience with relational and non-relational databases.
• Experience with ETL tools, data modeling, and data warehousing solutions.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong programming skills in Python, Java, or Scala.
• Knowledge of data security and compliance standards.

Technologies & Tools

This position requires familiarity with a variety of technologies and tools essential for effective data management. You will be expected to work with cloud platforms like Amazon Web Services (AWS) or Microsoft Azure, ETL tools such as Apache NiFi or Talend, and data warehousing concepts with tools like Snowflake or Google BigQuery. Proficiency in version control systems like Git, as well as understanding of containerization tools such as Docker, is advantageous for streamlining the data engineering processes.

Ideal Candidates

The ideal candidate for the Cloud Data Engineer position will possess a strong analytical mindset along with excellent problem-solving skills. They should have a proactive attitude and the ability to work independently while collaborating effectively in a team-oriented environment. Strong communication skills are essential, as the role requires liaising with various stakeholders to understand their data needs and to convey technical concepts clearly. A passion for continuous learning and staying abreast of emerging technologies in the field of data engineering is also a key characteristic of a successful candidate.