[14+]Senior Data Engineer - Remote

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Overview

As a Senior Data Engineer at Enexus Global Inc., you will play a pivotal role in constructing robust data pipelines and systems that empower our analytics functionality across the organization. You will collaborate closely with cross-functional teams, driving data-driven strategies and enhancing the overall quality and accessibility of our data ecosystem. Your expertise will be crucial in managing large datasets, optimizing data frameworks, and ensuring data integrity, all while mentoring junior team members and leading by example.

Job Responsibilities

• Design, develop, and maintain scalable data processing systems and pipelines.
• Collaborate with data scientists and analysts to translate business requirements into technical specifications.
• Ensure data quality and consistency across various data sources and systems.
• Implement best practices for data governance, security, and compliance.
• Conduct performance tuning and optimization of data storage and processing frameworks.
• Mentor junior engineers and provide technical guidance on best practices in data engineering.
• Explore and integrate new data technologies and tools to enhance capabilities.
• Generate documentation for data processes, systems, and standards.

Qualifications

• Master’s degree in Computer Science, Data Science, or a related field; or equivalent professional experience.
• A minimum of 5+ years of experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Extensive knowledge of data warehousing solutions and ETL tools (e.g., Apache Spark, Talend).
• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform).
• Understanding of data modeling concepts and data architecture principles.
• Strong analytical skills and a problem-solving mindset.

Technologies & Tools

In this position, you will utilize a variety of technologies and tools to manage and analyze data efficiently. These include cloud services such as Amazon Web Services (AWS) and Azure, big data frameworks like Apache Hadoop and Spark, as well as data orchestration tools like Apache Airflow. You will also work with both relational and non-relational databases, including MySQL and MongoDB, alongside version control systems such as Git for collaborative development.

Ideal Candidates

The ideal candidates for the Senior Data Engineer position at Enexus Global Inc. are innovative thinkers with a passion for data and analytics. They should demonstrate strong leadership abilities and an eagerness to mentor others while maintaining a collaborative spirit. Successful applicants will exhibit attention to detail, critical problem-solving skills, and the capacity to navigate complex data challenges. Above all, they will be dedicated to advancing data strategies that drive business outcomes and enhance organizational efficiency.