Senior Data Engineer (REMOTE)

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Written by AI from the job title and company, not by DICK'S Sporting Goods, so some details may not match this job. The employer's own page has the real description.

Position Overview

The Senior Data Engineer at DICK'S Sporting Goods will play a crucial role in designing, building, and maintaining robust data pipelines that support advanced analytics and business intelligence initiatives. This position requires a strategic thinker who can harness data to drive business results and improve operational efficiencies. The successful candidate will collaborate with cross-functional teams to understand data requirements, ensure data accuracy, and ultimately enhance our data-driven decision-making processes.

Job Responsibilities

• Design, develop, and optimize data pipelines and ETL processes to support various data-driven initiatives.
• Collaborate with data scientists and business stakeholders to define data requirements and build scalable data solutions.
• Monitor data quality and performance, implementing necessary improvements and optimizations.
• Ensure security and compliance standards are upheld throughout data processes and implementations.
• Document data architecture, pipeline designs, and processes to ensure clarity and continuity.
• Mentor junior data engineers and contribute to the overall skills development of the data engineering team.
• Stay updated on industry trends and emerging technologies to continuously enhance data management practices.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• At least 5 years of experience in data engineering or related fields.
• Proficiency in SQL and experience with various database technologies (e.g., PostgreSQL, MySQL, NoSQL databases).
• Hands-on experience with data pipeline tools (e.g., Apache Airflow, Talend, or similar).
• Strong programming skills in Python, Java, or Scala.
• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• Knowledge of data warehousing concepts and experience with data modeling is highly desirable.

Technologies & Tools

This position will involve working with a variety of technologies and tools including but not limited to SQL databases, Apache Airflow for orchestration, cloud services such as AWS or Azure for hosting and data storage, as well as programming languages like Python and Java for data manipulation and ETL operations. Familiarity with big data technologies such as Hadoop and Spark will also be beneficial for successfully executing the role's responsibilities.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position will possess strong analytical skills, exceptional problem-solving abilities, and a passion for leveraging data to drive strategic decisions. They should be proactive, detail-oriented, and possess excellent communication skills to effectively collaborate with technical and non-technical stakeholders alike. A strong sense of ownership and the ability to thrive in a fast-paced, dynamic environment will also be key characteristics that contribute to success in this role.