Senior Data Engineer- Enterprise Data (REMOTE)

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 DICK'S Sporting Goods, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior Data Engineer - Enterprise Data at DICK'S Sporting Goods plays a critical role in designing, developing, and maintaining data infrastructure that supports the organization’s strategic objectives. This position will involve implementing robust data solutions to enhance data accessibility, ensuring data quality, and optimizing performance across various systems. The Senior Data Engineer will collaborate with cross-functional teams to create pipelines that handle large volumes of data, ultimately driving innovation and analytical capabilities within the company.

Job Responsibilities

• Design, build, and maintain scalable data pipelines and architecture for enterprise data.
• Ensure data quality and performance optimization across various data systems and applications.
• Collaborate with stakeholders to gather requirements and define data needs to support business objectives.
• Implement and maintain ETL processes to facilitate data ingestion from various sources.
• Monitor and troubleshoot data issues, ensuring timely resolution and minimal downtime.
• Work with data scientists and analysts to implement analytical models and reporting solutions.
• Document processes, data models, and system integrations to ensure knowledge transfer and compliance.
• Stay updated on industry trends and ensure the data engineering practices align with best practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Strong proficiency in SQL and experience with database technologies like PostgreSQL, MySQL, or similar.
• Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with data modeling, warehousing concepts, and NoSQL databases.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical and problem-solving skills with attention to detail.

Technologies & Tools

The Senior Data Engineer will utilize various technologies and tools essential for effective data management and engineering. Key technologies include SQL databases like PostgreSQL and MySQL, data processing frameworks such as Apache Spark and Hadoop, as well as cloud services provided by AWS or Azure. The role will also encompass using programming languages like Python and Java, along with ETL tools and data modeling software, to create efficient data pipelines and ensure data integrity across platforms.

Ideal Candidates

Ideal candidates for the Senior Data Engineer position should possess a robust blend of technical expertise, problem-solving abilities, and interpersonal skills. They should demonstrate a genuine passion for data and analytics, coupled with the capability to adapt to various challenges in a dynamic environment. Strong communicators who can effectively collaborate with diverse teams, a keen attention to detail, and a proactive attitude towards process improvement will thrive in this role. A commitment to continuous learning and staying updated with technological advancements in data engineering is essential for success in this position.