Senior Data Engineer (Remote)

Kohl'sTallahassee, FL
1dRemote

About The Position

As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl’s retail offerings.

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
  • Spark, Python, Scala and Airflow

Nice To Haves

  • 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)
  • MapReduce, Pig, Hive, Kafka, Sqoop, and Flume

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
  • 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
  • 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
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