Data Platform Engineer – 100% Remote- Full time

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

Job Overview

The Data Platform Engineer at IBU Consulting will play a pivotal role in designing, developing, and maintaining scalable data architectures and solutions that support our clients' analytics and reporting requirements. This fully remote position requires a blend of advanced technical expertise and problem-solving abilities to deliver robust data solutions that enhance the overall data ecosystem. The successful candidate will collaborate across teams to ensure clean, reliable, and actionable data is available for analysis and decision-making.

Job Responsibilities

• Design, implement, and maintain robust data pipelines for efficient data processing.
• Collaborate with data scientists and analysts to develop data models that support analytics solutions.
• Ensure data quality and integrity through testing and monitoring processes.
• Optimize database performance and scalability for large volumes of data.
• Implement data governance policies and ensure compliance with relevant regulations.
• Stay up-to-date with industry trends and emerging technologies to continuously enhance the data platform.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in data architecture, data engineering, or a similar role.
• Strong proficiency in SQL and experience with relational and NoSQL databases.
• Experience with data processing frameworks such as Apache Spark, Hadoop, or similar.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate effectively with cross-functional teams.

Technologies & Tools

The Data Platform Engineer will utilize a wide range of technologies and tools, including but not limited to cloud platforms (AWS, Azure, Google Cloud), database management systems (MySQL, PostgreSQL, MongoDB), data processing frameworks (Apache Spark, Apache Kafka), and programming languages (Python, Java, Scala). Proficiency in ETL tools and data visualization software would also be advantageous.

Ideal Candidates

The ideal candidate will possess a strong analytical mindset and demonstrate a passion for data-driven decision-making. They will be proactive in identifying inefficiencies and suggest improvements within the data platform. A collaborative spirit and the ability to work independently in a remote environment are essential. An ongoing desire for professional growth and adaptation to innovative technologies will enable them to thrive in this role.