*job summary*
*responsibilities*
- leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data/meta data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
- reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
- provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.
- drives innovation and integration of new technologies into projects and activities in the big data space.
- collaborates and communicates with project team regarding project progress and issue resolution.
- design and build api solutions and other data and metadata systems integration following architecture guidance
- represents the data engineering team for all phases of larger and more-complex development projects.
- assists in the coaching and training of business analytics solution users to enhance business decision-making capability.
- ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
- builds and manages relationships throughout the organization.
- provides guidance and mentoring to less experienced staff members.
*education & experience* recommended*
- four-year or graduate degree in computer science, information technology, software engineering, statistics/ mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
- typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
*preferred certifications*
- programming language/s certification (sql, python, or similar)
*knowledge & skills*
- agile methodology
- amazon web services
- apache hadoop
- apache kafka
- apache spark
- big data
- computer science
- data analysis
- data engineering
- data modeling
- data pipelines
- data warehousing
- extract transform load (etl)
- java (programming language)
- machine learning
- microsoft azure
- python (programming language)
- scala (programming language)
- scalability
- sql (programming language)
*cross-org skills*
- effective communication
- results orientation
- learning agility
- digital fluency
- customer centricity
*impact & scope*
- impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
*complexity*
- works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
*disclaimer