Full Time

Software Engineer Manager, Data Engineering (Remote)

The Home Depot
Remote!
$120,000 - $180,000* / year

Job Description

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

Job Overview

The Home Depot is seeking a proficient Software Engineer Manager specializing in Data Engineering to join our dynamic team remotely. The ideal candidate will play a vital role in leading a skilled team of data engineers, driving the architecture, design, and development of advanced data solutions. This position encompasses overseeing the data engineering processes, ensuring efficient data pipelines, and collaborating cross-functionally to enhance our data ecosystem, ultimately empowering informed business decisions.



Job Responsibilities

  • Lead and mentor a team of data engineers, fostering a culture of innovation and continuous improvement.
  • Design and implement scalable data architecture, enabling efficient data collection, transformation, and storage.
  • Oversee the development and management of ETL processes to ensure high data quality and reliability.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Analyze business needs and proactively identify opportunities for data-driven solutions.
  • Establish best practices in data management and engineering methodologies.
  • Conduct performance tuning and optimization of data systems and workflows.
  • Stay current with emerging technologies to continually advance the team's technical capabilities.


Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
  • A minimum of 7 years of experience in software engineering with at least 3 years in a managerial role.
  • Proficiency in data engineering principles and practices, with sound knowledge of ETL frameworks.
  • Strong experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
  • Solid understanding of database technologies (e.g., SQL, NoSQL, data warehousing).
  • Excellent problem-solving, analytical, and troubleshooting skills.
  • Exceptional communication and leadership skills, with the ability to work collaboratively across teams.


Technologies & Tools

This position utilizes a variety of technologies and tools, including but not limited to Amazon Web Services (AWS), Apache Hadoop, Apache Spark, SQL databases, NoSQL databases, Python, Java, and various ETL tools. Familiarity with data visualization tools and software will be advantageous as we aim to present data-driven insights effectively.



Ideal Candidates

Ideal candidates for the Software Engineer Manager, Data Engineering role should exhibit strong leadership qualities, emphasizing teamwork, innovation, and a commitment to excellence. They should demonstrate an aptitude for strategic thinking and the ability to handle complex projects, along with a passion for leveraging data as a crucial business asset. A proactive approach, adaptability in a fast-paced environment, and effective communication skills are essential traits for success in this position.

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