Sr. Data Engineer

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

Job Overview

The Senior Data Engineer at Source One Technical Solutions will play a pivotal role in designing, constructing, and maintaining scalable data architectures and pipelines. This position requires an individual who is adept in data modeling, integration processes, and implementing data management strategies that facilitate data-driven decision-making across the organization. The successful candidate will collaborate closely with data scientists, analysts, and stakeholders to ensure that all data solutions effectively meet the needs of the business while adhering to industry best practices.

Job Responsibilities

• Design, develop, and maintain robust data pipelines to support analytics and business intelligence initiatives.
• Implement effective data modeling techniques and database management practices.
• Collaborate with cross-functional teams to identify data requirements and deliver high-quality data solutions.
• Ensure data quality, integrity, and security throughout all stages of data processing.
• Optimize data systems and pipelines for performance and scalability.
• Monitor and troubleshoot data-related issues, providing timely resolutions.
• Document processes and methodologies to ensure knowledge transfer and maintain best practices.
• Stay updated with the latest technologies and advancements in data engineering.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• Minimum of 5 years of experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Solid experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Knowledge of data warehousing solutions and ETL processes.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of data governance and data lifecycle management.
• Excellent analytical and problem-solving skills with attention to detail.

Technologies & Tools

In this role, the Senior Data Engineer will utilize a variety of technologies to accomplish their tasks effectively. The primary tools include Apache Hadoop, Apache Spark, Apache Kafka, Airflow for workflow management, and cloud services like AWS Redshift or Azure Data Lake. Additionally, the use of version control systems such as Git, containerization technologies like Docker, and data visualization tools will be integral to the role.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position possesses a strong blend of technical expertise and collaborative spirit. They demonstrate a proactive approach in problem-solving and exhibit an eagerness to continuously learn and adapt within a fast-paced environment. This individual should be highly detail-oriented, with excellent communication skills to effectively interact with various stakeholders. A passion for data and a drive to develop innovative solutions to complex problems will greatly enhance their success in this role.