Senior Data Engineer (Remote)

Kohl's is seeking a Senior Data Engineer to collaborate with design, product, and engineering experts to deliver innovative solutions for their retail offerings. The role involves leading the development of high-quality applications, participating in the application lifecycle, and implementing business outcomes through critical thinking and industry best practices.

Responsibilities:

• Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach
• Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team
• Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes
• Facilitate group discussions and team ceremonies and develop a shared context
• Give and receive feedback that’s empathetic, actionable and specific
• Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify
• Establish and lead product engineering and software standards
• Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test
• Research and stay up to date on tech market trends and practices
• Lead technical initiatives not only on the team but also across the department
• Additional tasks may be assigned

Requirements:

• 4+ years of experience in software development
• Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies
• In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development
• Knowledge of build management tools such as Jenkins or Maven
• Demonstrated understanding of source control systems such as GIT
• Database Design experience including either SQL, PL/SQL
• Implementing ETL process with Big Data Technologies
• Required: Spark, Python, Scala and Airflow
• Experience in designing and creating automation workflows and execution
• Knowledge of Apache Airflow Developing DAG, Performance tuning of the DAGs and task implementation
• Experience working with distributed caching technologies such as REDIS
• Good understanding of MPP databases such as Teradata and Netezza
• Bachelor's Degree or equivalent in MIS, Computer Science or related field
• Experience with large-scale application troubleshooting and performance tuning
• Exposure working with major cloud platforms (GCP, AWS, or Azure)
• Familiarity and experience with XP (Extreme Programming)