Senior Data Engineer

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 Team Remotely Inc, so some details may not match this job. The employer's own page has the real description.

Position Overview

Team Remotely Inc. is seeking a skilled Senior Data Engineer to enhance our data-driven initiatives. This role involves designing, developing, and maintaining our advanced data infrastructure, integrating data from various sources, and ensuring that data pipelines are efficient and reliable. The ideal candidate will work collaboratively with data scientists and analysts to deliver high-quality data solutions, drive insights, and help in making informed business decisions. The Senior Data Engineer will also mentor junior team members and play a pivotal role in the architectural design of our data ecosystem.

Job Responsibilities

• Design, implement, and maintain robust data pipelines that support analytical and operational needs.
• Develop data models and architectures that support business intelligence initiatives.
• Collaborate with cross-functional teams to gather, analyze, and document data requirements.
• Monitor data systems for reliability and performance, troubleshooting as necessary.
• Implement data quality checks and ensure data integrity across multiple sources.
• Optimize ETL processes to improve efficiency and reduce processing time.
• Stay current with emerging technologies and best practices in the field of data engineering.
• Mentor junior data engineers and contribute to best practices and standard operating procedures.

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 related field.
• Proficiency in SQL and experience with relational and non-relational databases.
• Hands-on experience with data pipeline and ETL tools such as Apache Spark, Talend, or similar.
• Solid understanding of data warehousing concepts and solutions.
• Familiarity with cloud services such as AWS, Azure, or Google Cloud Platform.
• Experience with programming languages like Python, Java, or Scala.
• Strong problem-solving skills and the ability to work independently and in team settings.

Technologies & Tools

The Senior Data Engineer will be working with an array of technologies and tools including SQL databases (e.g., MySQL, PostgreSQL), NoSQL databases (e.g., MongoDB, Cassandra), cloud platforms (AWS, Azure), data processing frameworks (Apache Spark, Kafka), and various ETL tools. Familiarity with programming in Python, Java, or Scala is essential for developing data pipelines and transformations. Additionally, knowledge of data visualization tools (such as Tableau or Power BI) will be beneficial.

Ideal Candidates

The ideal candidate for this position is a proactive, analytical thinker who possesses a deep understanding of data engineering principles and practices. They are collaborative team players who communicate effectively with both technical and non-technical stakeholders. A strong passion for technology and continuous learning is essential, coupled with the ability to mentor and guide others. Candidates should demonstrate a strong commitment to data integrity, attention to detail, and a drive to build scalable systems that enhance business capabilities.