Responsibilities
- Demonstrate a deep knowledge of, and ability to operationalize, leading data technologies and best practice
- Partner end-to-end with Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production
- We develop real products. You need to be an expert in design, coding, and scripting
- Facilitate problem diagnosis and resolution in technical and functional areas
- Encourage change, especially in support of data engineering best practices and developer satisfaction
- Write high-quality code that is consistent with our standards, creating new standards as necessary
- Demonstrate correctness with pragmatic automated tests
- Review the work of other engineers in a collegial fashion to promote and improve quality and engineering practices
- Develop strong working relationships with others across levels and functions
- Participate in, and potentially coordinate, Communities-of-Practice in those technologies in which you have an interest
- Participate in continuing education programs to grow your skills both technically and in the Williams-Sonoma business domain
- Serve as a member of an agile engineering team and participate in the team's workflow
Criteria
- 5 years of experience as a professional software engineer
- 3 - 5 years of experience with big data technologies
- Experience in building, distributed, scalable, and reliable data pipelines that ingest and process data at scale and in batch and real-time
- Strong knowledge of programming languages/tools including Spark, SQL, Python, Java, Scala, Hive, and Elasticsearch
- Experience with streaming technologies such as Spark streaming, Flink, or Apache Beam
- Experience with various messaging systems such as Kafka
- Experience in implementing Lambda Architecture
- Working experience with various SQL and NoSQL databases such as Snowflake, Cassandra, HBase, MongoDB, and/or Couchbase
- Working experience with various time-series databases such as OpenTSDB and Apache Druid
- Familiarity with ML and Deep Learning
- Working knowledge of various columnar storage such as Parquet, Kudu, and ORC
- An understanding of software development best practice
- Enthusiasm for constant improvement as a Data Engineer
- Ability to review and critique code and proposed designs, and offer thoughtful feedback in a collegial fashion
- Skilled in writing and presenting -- able to craft needed messages so they are clearly expressed and easily understood
- Ability to work independently on complex problems of varying complexity and scope
- Bachelor's degree in Computer Science, Engineering or equivalent work experience
Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teen, West Elm, Williams-Sonoma Home, Rejuvenation, GreenRow and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogs and online worldwide.
Williams-Sonoma has established a technology center in Pune, India to enhance its global operations. The India Technology Center serves as a critical hub for innovation and focuses on developing cutting-edge solutions in areas such as e-commerce, supply chain optimization, and customer experience management. By integrating advanced technologies like artificial intelligence, data analytics, and machine learning, the India Technology Center plays a crucial role in accelerating Williams-Sonoma's growth and maintaining its competitive edge in the global market
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