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Director Data Engineering

USA · Full-time · Management

About The Position

Seeking a Director Data Engineering with strong experience across the entire Cloud Data stack. The ideal candidate will have extensive experience in data pipelines (ELT/ETL), data warehousing and dimensional modeling, and curation of data sets for Data Scientists and Business Intelligence users. This candidate will also have excellent problem-solving ability dealing with large volumes of data.

 Responsibilities

  • Building scalable Cloud data solutions using MPP Data Warehouses (Snowflake, DataBricks, or Azure Data Warehouse/Synapse), data storage (S3 or Azure Blob Storage) and analytics platforms (i.e. Spark, Databricks, etc.)
  • Creation of data pipelines and transformations (ELT – Matillion, FiveTran, DBT, etc. and/or ETL – Informatica, Talend, etc.)
  • Modeling and curation of data for visualization and predictive modeling users
  • Design and implementation of AWS and/or Azure services such as Lambda, SNS, etc.
  • Creating data integrations with scripting languages such as Lambda, Python, etc.
  • Writing complex SQL queries, stored procedures, etc.


Requirements

Qualifications

  • Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field. Commensurate work experience will be considered in lieu of degree
  • Experience building scalable Cloud data solutions using MPP Data Warehouses (Snowflake, Redshift, or Azure Data Warehouse/Synapse), data storage (S3 or Azure Blob Storage) and analytics platforms (i.e. Spark, Databricks, etc.)
  • 10+ years with complex SQL queries and scripting
  • 5+ years’ experience with AWS and/or Azure Cloud
  • 7+ years developing, and deploying scalable enterprise data solutions (Enterprise Data Warehouses, Data Marts, ETL/ELT workloads, etc.)
  • 5+ years of supporting business intelligence and analytic projects
  • 2+ years’ DevOps experience
  • Good understanding of code repositories such as GIT
  • Excellent written and oral communication skills

 

Pluses:

  • Experience with a Business Intelligence tool such as Tableau, PowerBI, etc.
  • Experience working at a consulting company
  • Experience with Data Vault architecture


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