Job Summary
• This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.
Responsibilities
• Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant 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.
• 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.
- Has experience managing data pipelines, build monitoring solutions and administrative/governance tasks
- Experience in Metadata Management or Building Data Catalogs is an advantage
Knowledge & Skills
•• Databricks
• PostgreSQL
• Amazon Web Services
• Data Analysis
• Data Engineering
• Data Modeling
• Data Pipelines
• Extract Transform Load (ETL)
• Python (Programming Language)
• PySpark (Programming Language)
• 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
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.