Overview
On Site
$140000
Full Time
Skills
ETL
Data
Scala
BigData
Warehousing
Job Details
Role | Senior Data Engineering Lead 12+ Years Only |
Location | Seattle, WA Onsite |
Job Type | Fulltime Permanent Position |
Required Skills:
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- All applicants authorized to work in the United States are encouraged to apply
- At least 7 years of experience in Information Technology
- At least 7 years of experience on Data Warehousing and ETL
- Must have at least 5 years of experience in Spark/Scala, Python and proficient in SQL and complex query handling
- At least 5 years of experience with Big Data processing
- Experience in framing high level and low-level design artefacts, validation of work deliverables
- Must have experience in leading support engagements too
- Candidate should be able to build and maintain work relationships with the client leadership team, 3rd party vendors and business partners
- Candidate should involve in effective communications with the offshore onshore delivery team and in conducting & moderating client meetings
- Should have the capacity to bring in additional business by working with client partners by participating in meetings related to business development, technical discussions and new initiatives
- Experience on Retail domain and must have worked on a global support delivery model in his previous assignments.
- Preferred Skills:
- Experience in any Cloud and Data warehousing experience, reporting background is nice to have.
- Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include:
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.