Principal Data Engineer

April 24

SMG - Service Management Group

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Enterprise Experience Management

Employee Engagement • Brand Research • Customer Experience • Employee Experience • Experience Management

201 - 500

💰 Private Equity Round on 2021-10

Description

• Lead by example in data engineering practices, demonstrating expertise in Python, Scala, Apache Spark, SQL, Hadoop, Kafka, Airflow, vector databases, and other relevant technologies • Inspire and mentor data engineering teams, fostering a growth mindset and a collaborative environment • Lead initiatives to rebuild the team and instill a culture of continuous learning and improvement • Collaborate with leadership to shape the company's vision for data engineering • Drive efforts to refactor and rebuild data infrastructure, prioritizing scalability, reliability, and maintainability • Identify and address technical constraints in data engineering, implementing strategies for improvement • Champion modern data engineering practices and advocate for code quality • Lead data engineering teams to deliver significant initiatives successfully, managing timelines, resources, and risks effectively • Collaborate cross-functionally with other teams to solve complex technical challenges and drive innovation across the organization

Requirements

• Bachelor's degree in computer science, engineering, or related field or equivalent experience • Extensive experience (8+ years) in data engineering, focusing on leading teams and initiatives to deliver value • Proven expertise in various data engineering technologies such as Python, Scala, Apache Spark, SQL, Hadoop, Kafka, Airflow, and other relevant technologies in the data engineering domain • Strong understanding of modern data engineering practices including data modeling, ETL processes, data quality assurance, and data pipeline orchestration • Experience with data engineering tooling and platforms such as Databricks and Snowflake is highly desirable • Excellent leadership and communication skills • Ability to quickly learn and adapt to innovative data technologies as needed • Ability to thrive in a dynamic, fast-paced environment with a growth mindset and a commitment to continuous learning • Demonstrated ability to drive change and influence stakeholders at all levels of the organization

Benefits

• Work hard, have fun environment • Ample opportunities to learn and grow • Fully Remote, fulltime position • Unlimited PTO