Sr IT Engineer Data

Ulta Beauty, Inc.•Bolingbrook, IL

About The Position

Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability—and is recognized that way. We’ve been defined as a “mature start-up.” A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are. We’re engineering for the future of retail, and it’s no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you’ll find that virtually nothing’s impossible at Ulta Beauty. COMPANY: Ulta, Inc. LOCATION: 1000 Remington Blvd., Suite 120, Bolingbrook, IL 60440

Requirements

Bachelor’s degree in Computer Science, or related.
Five (5) years of development or related experience.
Five (5) years of development or related experience must include: Five (5) years of development experience in Big data platforms such as Hadoop, Databricks on AWS, Azure, or GCP cloud.
Experience must also include: Big Data ecosystems underlying architectures to re-platform legacy systems and build integration solutions on Google Cloud platform
Experience in design and development of data pipelines leveraging batch and real-time data ingestion frameworks and spark streaming
Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems
Experience in Big Data tools and technologies such as Big Query, Databricks, Snowflake, Spark, or Kafka Streams
Experience in test automations ensuring data quality, continuous integrations build and deployment processes using Docker, GitHub, Jenkins and Unix/Linux shell scripts
Experience developing complex services/solutions based on Enterprise Integration Patterns and Coding best practices.

Responsibilities

Designs frameworks and applications for large-scale data processing evaluating emergingtechnologies and approaches that will power data-driven capabilities across the Enterprise.
Develops data engineering solutions on Google Cloud Platform leveraging Google Data Flow, Data Proc, REST APIs /Micro Services to ingest data from external partners, define workflows and schedule jobs.
Collaborates with cross-functional technologists and business partners across the organization to gather requirements, solve new problems and deliver quality results.
Develops and executes test plans to validate the implementation and performance of data ingestion and processing programs and recommend performance improvements.
Mentors other team members on best practices.
Supports the operations of the deployed solutions, investigates complex issues and assists with the resolution and implementation of preventive measures.
Assists with evaluation of Proof of Concepts (POCs), project estimation and engages in performance testing and tuning activities for large data sets.

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