SENIOR DATA ENGINEER- REMOTE

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

Job Overview

As a Senior Data Engineer at RemoteWorker US, you will play a pivotal role in designing, developing, and maintaining robust data architectures and pipelines that enable decision-making processes across various teams. You will leverage your expertise in data modeling and ETL processes to ensure high-quality data delivery and contribute to the overall efficiency and effectiveness of our data operations. This role demands a deep understanding of big data technologies, strong analytical abilities, and a commitment to continuous improvement to meet business needs in a fast-paced, remote work environment.

Job Responsibilities

• Design and implement scalable data pipelines to process large sets of structured and unstructured data.
• Develop and maintain data models, ensuring optimal performance and governance.
• Work closely with data scientists and analysts to understand data requirements and deliver solutions that meet business needs.
• Monitor data quality and integrity, implementing necessary improvements and optimizations.
• Utilize various data storage and processing technologies to enhance data retrieval and analytics capabilities.
• Collaborate with cross-functional teams to establish data architecture standards and best practices.
• Provide mentorship and guidance to junior data engineers, fostering a culture of knowledge sharing.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field; Master’s degree preferred.
• A minimum of 5 years of experience in data engineering or related roles.
• Proficient in programming languages such as Python, Java, or Scala.
• Strong experience with ETL frameworks and data pipeline orchestration tools, such as Apache Airflow or Talend.
• Solid understanding of database technologies including SQL, NoSQL, and data warehousing solutions.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with big data technologies like Apache Hadoop, Spark, or Kafka is highly desirable.
• Excellent problem-solving and analytical skills, with attention to detail.

Technologies & Tools

In this role, you will utilize an array of technologies and tools, including but not limited to, Apache Spark for big data processing, SQL databases for structured data management, and cloud services such as AWS for storage and computational resources. Additional tools may include data integration platforms like Talend and orchestration frameworks like Apache Airflow, ensuring streamlined data workflows and optimal performance throughout the data lifecycle.

Ideal Candidates

The ideal candidate for this position will possess exceptional analytical skills and a proactive approach to problem-solving. They should be adaptable and able to thrive in a rapidly changing environment while demonstrating strong communication skills for effective collaboration across teams. A passion for technology and data as well as a commitment to delivering high-quality solutions will be essential traits. Additionally, experience in leading projects and mentoring team members will be highly valued, contributing to a strong team dynamic and shared goals.