Data Engineer IV

4 weeks ago


Seattle, Washington, United States Intelliswift Full time
Job Description:

Intelliswift is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, implementing, and supporting a platform providing secured access to large datasets. You will work with our team to build data pipelines, source data from internal/external ERP systems, and own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.

Responsibilities:

  • Design, implement, and support a platform providing secured access to large datasets.
  • Build data pipelines, and source data from internal/external ERP systems like Coupa, SAP.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Tune application and query performance using profiling tools and SQL.
  • Analyze and solve problems at their root, stepping back to understand the broader context.
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Requirements:

  • 7+ years of related experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience with SQL.
  • Experience in at least one modern scripting or programming language, such as Python, Java, Spark.
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
  • Experience with nonrelational databases/data stores (object storage, document or keyvalue stores, graph databases, columnfamily databases).
  • Experience as a data engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets.
  • Knowledge of SFTP and file storage systems.
  • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.

Preferred:

  • Prior knowledge of Coupa modules and backend mechanism is a plus.
  • Experience with data transfers using SFTP server and EDI is desired.
  • Experience and understanding of working with transportation/Freight data.

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