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

Job Overview

The Senior Data Engineer at Vaco will play a pivotal role in designing and implementing robust data pipelines and architectures that support data-driven decision-making across the organization. This position involves collaborating with cross-functional teams to understand data requirements, ensuring data quality and integration, and leveraging advanced analytics to drive insights. The Sr. Data Engineer will also mentor junior team members and contribute to the strategic direction of the data infrastructure, ensuring scalability and efficiency.

Job Responsibilities

• Design and implement scalable data pipelines and processing systems to facilitate large-scale data collection and processing.
• Collaborate with data scientists, analysts, and other stakeholders to gather requirements for data solutions.
• Ensure data quality and integrity throughout the data lifecycle, employing best practices for data governance.
• Optimize and maintain existing data architectures and workflows, ensuring reliability and performance.
• Mentor junior engineers by providing guidance and sharing expertise in data engineering practices.
• Evaluate and implement new data technologies and tools to enhance data processing capabilities.
• Perform data modeling, design, and application of data storage solutions.
• Document technical specifications, workflows, and data architecture to maintain a comprehensive knowledge base.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree is a plus.
• Minimum of 5 years of experience in data engineering, data architecture, or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Strong knowledge of SQL and relational databases, as well as no-SQL databases.
• Familiarity with cloud technologies, particularly AWS, Azure, or Google Cloud Platform.
• Solid understanding of ETL processes and tools.
• Excellent communication skills with the ability to convey complex information clearly.

Technologies & Tools

The Senior Data Engineer will utilize a variety of technologies and tools, including but not limited to Apache Hadoop, Apache Spark, Apache Kafka, AWS services (such as S3, Redshift, and Lambda), and SQL databases. Familiarity with data visualization tools and advanced analytics platforms will also be advantageous in this role.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position at Vaco will exhibit strong analytical thinking and problem-solving skills, with an innate ability to navigate complex data environments. They should be detail-oriented, demonstrating a commitment to data integrity and quality while being a proactive team player. Excellent communication skills are essential for collaborating effectively across departments and mentoring others, while a continuous learning mindset will help adapt to evolving technologies and practices in the data engineering landscape.