Sr. Data Engineer

Responsibilities/skills:

• Data Modeling
• Data Warehousing
• Building ETL pipelines
• Cloud architecture
• Design and development of data movement
• ETL architecture design
• Complete complex sprint assignments involving challenging projects and high level of skill, expertise and attention to detail
• Adapts and executes all technical aspects of the data platform including:
  
  • Work to scope and execute any onboarding of new data sources / metrics
  • Transitions to new platforms
  • Resolve roadblocks for other team members
  • Work with IT vendor partners to ensure solutions operate effectively

A few of the intangibles we are looking for

• a problem-solver
• someone capable of getting things done without hand-holding, ability to seek out answers to questions from individuals in the organization
• unraveling complicated assignments

Qualifications:

• 7+ years of experience as a Data Engineer in building ETL/ELT, data warehousing and big data solutions
• Experience with scalable cloud data technologies (Google Cloud preferred), examples include  Dataflow, Dataproc, Dataflow, Dataprep, Cloud Composer, Big Query, Snowflake, Looker, Databricks, Hadoop, Spark, Snaplogic
• Experience with data modeling, data warehousing, and building ETL pipelines, Unix shell scripts and commands
• Cloud Architect (AWS or GCP or Azure) Certification is a plus
• Ability to question directions / roadmaps / plans in a manner that is insightful & respectful
• Ability to effectivly communicate complicated technical topics in a manner that is understood by non-technical team members
• Ability to mentor junior team members related to technical skills and performance