Senior Data Engineer - Remote

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Job Overview

Enexus Global Inc. is seeking an experienced Senior Data Engineer to join our innovative team in a remote capacity. In this role, you will be responsible for designing, implementing, and maintaining robust data pipelines, as well as working closely with cross-functional teams to ensure optimal data integration and accessibility. Your expertise will play a crucial role in enabling data-driven decision-making processes throughout the organization, and you will leverage best practices in data architecture to enhance our overall data management capabilities.

Job Responsibilities

• Design, develop, and maintain scalable ETL processes to support data ingestion and transformation from multiple sources.
• Collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and availability.
• Implement and optimize data storage solutions within cloud environments such as AWS, Azure, or Google Cloud.
• Monitor and troubleshoot data pipeline performance, ensuring timely data processing and reporting.
• Develop and enforce data management best practices including data quality, governance, and security protocols.
• Work with data modeling techniques and tools to create data structures that facilitate efficient querying and reporting.
• Stay updated on emerging technologies and trends in data engineering to recommend improvements and innovations.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred.
• Minimum of 5 years of experience in data engineering or a related role.
• Proficiency in at least one programming language such as Python, Java, or Scala.
• Extensive experience with SQL and knowledge of NoSQL databases.
• Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark).
• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication skills.

Technologies & Tools

The Senior Data Engineer will work extensively with a variety of technologies and tools, including but not limited to cloud platforms such as AWS and Azure, data processing frameworks like Apache Spark and Apache Kafka, database management systems including MySQL, PostgreSQL, and MongoDB, and BI tools like Tableau and Looker. Proficiency in data modeling and ETL tools such as Apache NiFi or Talend is also essential for success in this role.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position at Enexus Global Inc. will exhibit a strong combination of technical expertise and interpersonal skills. They will demonstrate a proactive approach to problem-solving, a passion for data technology, and the ability to work collaboratively in a fast-paced environment. Candidates should have a genuine curiosity for exploring data-driven insights and a commitment to excellence in their work ethic. Adaptability to changing priorities and a continuous learning mindset are essential traits for thriving in this role.