Data Engineer (ETL Developer & System Administration concentration) (min 11 yrs+ exp) REMOTE (Webcam or in-person interviews)

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Job Overview

The Data Engineer (ETL Developer & System Administration concentration) at Prohires will play a pivotal role in designing, implementing, and maintaining data pipelines and architecture. The ideal candidate will have extensive experience in ETL processes, data modeling, and systems administration to ensure the efficient flow and organization of data within the organization. This role requires a deep understanding of data management and transformation technologies, enabling the candidate to contribute significantly to the organization’s data strategy and operational efficiency.

Job Responsibilities

• Design, develop, and maintain ETL processes to facilitate data ingestion, transformation, and loading from disparate systems.
• Optimize and troubleshoot data pipelines for performance and reliability, ensuring data quality and integrity.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide appropriate solutions.
• Ensure compliance with data governance and data privacy policies across all data handling processes.
• Conduct system administration tasks, including monitoring, maintenance, and upgrades of database systems.
• Automate operational processes through scripting and programming.
• Document data processes, architectures, and workflows for knowledge transfer and regulatory compliance.
• Participate in capacity planning and resource management for data infrastructure.
• Stay updated with emerging technologies and methodologies in the data engineering field.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 11 years of experience in data engineering, specializing in ETL development and system administration.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Experience with ETL tools such as Apache NiFi, Talend, or Informatica.
• Proficient in programming languages such as Python or Java for data manipulation.
• Familiarity with big data technologies including Apache Hadoop, Spark, and NoSQL databases.
• Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Exceptional problem-solving skills and attention to detail.
• Excellent communication skills, both written and verbal.

Technologies & Tools

In this position, the candidate will work with a variety of technologies and tools, including SQL for database management, ETL frameworks such as Apache NiFi and Talend for data integration, cloud services from AWS and Azure for hosting data solutions, and programming languages like Python for data processing and automation. Familiarity with big data solutions like Hadoop and Spark will also be crucial for handling large volumes of data efficiently.

Ideal Candidates

The ideal candidate for this role will possess a proactive and analytical mindset with a strong focus on results and quality. They should demonstrate excellent technical skills and the ability to work collaboratively with cross-functional teams. A passion for data and an eagerness to stay ahead of industry trends are essential traits. Furthermore, candidates should exhibit strong organizational skills and a thirst for continuous learning to adapt to evolving technologies and methodologies in the field of data engineering.