Senior Data Engineer - Remote - Not Less than 12+ Years

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

Overview

Enexus Global Inc. is seeking a highly skilled Senior Data Engineer with a minimum of 12 years of experience to join our dynamic team in a remote capacity. The successful candidate will be responsible for designing, building, and maintaining reliable and scalable data pipelines. This role will enhance our data ecosystem, ensuring data is accessible and usable for analytical purposes. The Senior Data Engineer will collaborate with cross-functional teams to meet the organization's data needs and contribute to the overall data strategy.

Job Responsibilities

• Design, construct, and maintain modular data pipelines to streamline handling of large datasets.
• Collaborate with data scientists and analysts to understand data requirements and ensure data accessibility.
• Implement robust data quality checks and monitoring to ensure data integrity and cleanliness.
• Optimize existing data processes and architecture for improved efficiency and performance.
• Lead data architecture discussions and provide critical input into the overall data strategy of the organization.
• Develop and maintain documentation for data sources, data flows, and system architecture.
• Mentor junior data engineers and establish best practices within the team.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 12 years of experience in data engineering, with a focus on data pipeline development and maintenance.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions like Snowflake, AWS Redshift, or Google BigQuery.
• Strong knowledge of ETL tools and data integration techniques.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Excellent understanding of database systems including SQL and NoSQL technologies.

Technologies & Tools

The Senior Data Engineer will work extensively with various technologies and tools including, but not limited to, Apache Kafka for stream processing, Apache Spark for data processing, SQL for database queries, and advanced AWS services for data storage and analysis. Familiarity with Docker and Kubernetes may also be advantageous for container orchestration.

Ideal Candidates

The ideal candidate for this position will possess strong analytical and problem-solving skills, demonstrating a high level of attention to detail and a proactive approach to challenges. They should be an excellent communicator, able to convey complex technical concepts to non-technical stakeholders, and be a team player willing to contribute to a collaborative work environment. A commitment to continuous improvement and a passion for utilizing data to drive business decisions are also essential qualities.