Job Description :
Position: Principal Data Engineer
Location: Durham, NC, 27707
Duration: 6 months (High probability of extension)
100% Onsite (From Start) & After few months will consider WFH
Job Description:
Looking for a Principal Data Engineer who will work closely with data scientists and other stakeholders to design and maintain highly complex data models.
The Principal Data Engineer is responsible for developing and supporting advanced and complex reports that provide accurate and timely data for internal and external clients.
The Principal Data Engineer will lead the design and growth of a data infrastructure that powers our ability to make timely, actionable and data-driven decisions.
Job Description:
Minimum Requirements:
Bachelor’s degree in Computer Science or other STEM related major
7 years of the following experiences:
o Experience with Oracle, Data Warehouses and Data Lakes
o Experience on Big Data platforms such as Hadoop, Spark, HBase, CouchDB, Hive, Pig etc.
o Programming experience in Python, R or other related language
If no degree, 9 years of the experiences listed above
If Master’s degree in STEM or related major, 5 years of experiences as listed above
Advanced SQL programming skills
Expert level experience working with large and complex data sets
Advanced experience leading large, complex business analysis projects and/or technical projects
Advanced experience with reporting and business intelligence tools such as Tableau, Informatica, TeraData, MySQL, Qlikview, Oracle etc.
Hiring Preferences:
Master’s Degree in STEM or related major
Experience with Hadoop, Hive and/or other Big Data technologies
Experience with ETL or Data Pipeline tools
Experience with query and process optimization
Experience working in AWS and/or using Linux based systems
Prior project management experience with Agile methodology
Ability to translate task/business requirements into written technical requirements
Reliable task estimation skills
Excellent quantitative, problem solving and analytic skills
Ability to document data pipeline architecture and design
Ability to collaborate effectively with business stakeholders, performance consultants, data scientists, and other data engineers
Proficient in use of MS Office applications including expert level Excel programming
Ability to quickly become an expert in operational processes and data of lines of business
Ability to troubleshoot and document findings and recommendations
Ability to communicate risks, problems, and updates to leadership
Ability to keep up with a rapidly evolving technology space
Required Skills: Experience With ETL Tools In Past & Current experience with any Cloudera (Stack)