Data Engineer II

4 weeks ago

San Francisco, California, United States Ross Full time
Job Summary

We are seeking a highly skilled Data Engineer II to join our team at Ross. The successful candidate will play a critical role in engineering data solutions that support Ross reporting and analytic needs.

The ideal candidate will have at least 7 years of experience in data engineering, with a strong background in designing and modeling data pipelines, data ops, scripting, and SQL queries. They will also have experience with modern data architecture, including Snowflake, Azure, and other cloud data warehousing/data lake technologies.

The Data Engineer II will be responsible for designing and modeling data engineering pipelines that support Ross reporting and analytic needs, as well as engineering efficient, adaptable, and scalable data pipelines for moving data from different sources into our Cloud Lakehouse.

The successful candidate will also have excellent communication skills, with the ability to give and receive information, explain complex information in simple terms, and maintain a strong customer service approach to all users.

Key Responsibilities:

  • Design and model data engineering pipelines that support Ross reporting and analytic needs.
  • Engineer efficient, adaptable, and scalable data pipelines for moving data from different sources into our Cloud Lakehouse.
  • Understand and analyze business requirements and translate into well-architected solutions that demonstrate the modern BI & Analytics platform.
  • Be a part of data modernization projects providing direction on matters of overall design and technical direction, acts as the primary driver toward establishing guidelines and approaches.
  • Develop and deploy performance optimization methodologies.
  • Drive timely and proactive issue identification, escalation & resolution.
  • Collaborate effectively within Data Technology teams, Business Information teams to design and build optimized data flows from source to Data visualization.

Requirements:

  • At least 7 years in-depth, data engineering experience and execution of data pipelines, data ops, scripting and SQL queries.
  • 5 years proven data modeling skills - must have demonstrable experience designing models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models).
  • 2-3 years' experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred.
  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, or Business Management.
  • Expert in engineering data pipelines using various data technologies - ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience.
  • Hands on data warehouse design, development, and data modeling best practices for modern data architectures.
  • Highly proficient in at least one of these programming languages: Java, Python.
  • Experience with modern data modelling tools, data preparation tools.
  • Experience with adding data lineage, technical glossary from data pipelines to data catalog tools.
  • Highly proficient in Data analysis - analyzing SQL, Python scripts, ETL/ELT transformation scripts.
  • Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required.
  • Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus.
  • Self-driven individual with the ability to work independently or as part of a project team.
  • Experience working in an Agile Environment preferred, Familiarity with Retail domain preferred.
  • Experience with Streamsets, dbt preferred.
  • Strong communication skills are required with the ability to give and receive information, explain complex information in simple terms and maintain a strong customer service approach to all users.

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