Sr. Data Engineer

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Overview

The Senior Data Engineer at Trademark Recruiting/Consulting will play a pivotal role in designing, developing, and maintaining robust data pipelines and architectures to support our data-driven decision-making process. This position entails collaborating with cross-functional teams to extract insights from large datasets, optimizing our data processing infrastructure, and ensuring data quality and accessibility. The ideal candidate will leverage their technical expertise to enhance our data management practices, instilling a culture of data excellence within the organization.

Job Responsibilities

• Design, implement, and maintain scalable data pipelines and ETL processes for raw and structured data.
• Collaborate with data scientists and business analysts to understand data requirements and develop data solutions.
• Optimize existing data processing workflows and troubleshoot data-related issues to improve data integrity and efficiency.
• Manage and monitor data storage solutions, ensuring data security and compliance with industry standards.
• Document data architecture, processes, and best practices to facilitate knowledge transfer within the team.
• Evaluate and incorporate new data technologies to enhance the data infrastructure and meet evolving business needs.
• Lead data engineering initiatives aimed at improving performance and scalability of data storage and processing systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering, with a focus on data architecture and pipeline development.
• Proficiency in SQL and experience with NoSQL databases such as MongoDB or Cassandra.
• Strong knowledge of data processing frameworks (e.g., Apache Spark, Apache Kafka) and cloud services (e.g., AWS, Azure).
• Experience with data modeling, data warehousing, and data governance best practices.
• Familiarity with programming languages such as Python, Java, or Scala.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.

Technologies & Tools

The Senior Data Engineer position will involve working with various technologies and tools including, but not limited to, SQL and NoSQL databases, Python and Java for programming, data processing frameworks such as Apache Spark and Apache Kafka, and cloud platforms like AWS and Azure for data storage and analytics. Familiarity with data visualization tools will also be beneficial.

Ideal Candidates

The ideal candidate for the Senior Data Engineer role will possess a deep passion for data and the ability to translate complex technical details into actionable insights for non-technical stakeholders. They should demonstrate a strong analytical mindset, adaptability to rapidly changing technologies, and excellent communication skills. A successful candidate will be proactive, self-motivated, and committed to continuous improvement, driving initiatives that enhance data management processes within the organization.