Senior Data Engineer - Hybrid/Remote

Genesco Inc; Nashville (TN); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company in the retail sector is seeking a Senior Data Engineer to enhance data systems and pipelines. The ideal candidate will possess strong analytical skills and extensive experience in big data technologies. This role involves collaboration with cross-functional teams to ensure data-driven decision-making and continuous improvement of data processes.

Qualifications

• 5+ years of experience with programming languages (Python, Java, SQL).
• Hands-on experience with big data technologies.
• Solid understanding of data governance principles.

Responsibilities

• Design, build, and maintain data systems and pipelines.
• Develop and maintain ETL processes for data integration.
• Ensure data accuracy and integrity through quality checks.

Skills

Programming languages

Data modeling

Database management systems

Data governance principles

Collaboration and communication

Problem-solving

Tools

Kafka

Spark

Hive

AWS

Azure

GCP

ETL tools/frameworks

Job description

The Ideal Candidate

This position will drive efficiency and scalability by aligning data systems with business goals. This position requires strong analytical skills and the ability to efficiently combine data from different sources with a keen eye toward data governance and quality. Senior Data Engineers work directly with end users to gather requirements and build technical specifications that enable the development of robust, extensible data pipelines.

Please note that we are not able to provide visa sponsorship for this role.

How You Will Make an Impact

• Data Architecture and Infrastructure:
  • Design, build, and maintain robust, extensible data systems and pipelines. This includes designing and implementing data lakes, data marts, and other data storage solutions.
• Data Integration and ETL:
  • Develop and maintain data integration processes, including ETL (Extract, Transform, Load) pipelines, to move data from various sources into a central repository.
• Data Quality and Integrity:
  • Ensure data accuracy, consistency, and completeness through data quality checks and validation processes.
• Data Governance:
  • Collaborate with IT teams to adhere to best practices and maintain data integrity.
• Collaboration and Communication:
  • Work with data analysts, scientists, application owners, and business stakeholders to understand data requirements and ensure data-driven decision-making.
• Continuous Improvement:
  • Stay up to date with the latest data engineering technologies and best practices and recommend improvements to existing systems and processes.

Experience and Skills You'll Need to Have

• 5+ years of experience with programming languages (e.g., Python, Java, SQL), data modeling, and database management systems.
• Hands-on experience with big data technologies such as Kafka, Spark, Hive, and cloud-based platforms (e.g., AWS, Azure, GCP).
• Experience with data warehousing and ETL tools/frameworks.
• Solid understanding of data governance principles and best practices for maintaining data quality and integrity.
• Strong collaboration and communication skills for working with cross-functional teams.
• Excellent problem-solving skills with the ability to troubleshoot and resolve complex technical issues.
• Demonstrated ability to mentor and guide junior data engineers.