Position : Data Engineer
Location : Onsite (San Diego, CA)
Duration : 12 Months
Job description :
Analyzes complex business problems to be solved with automated systems. Provides technical expertise in identifying, evaluating and developing systems and procedures that are cost effective and meet user requirements.
Configures system settings and options; plans and executes unit, integration and acceptance testing; and creates specifications for systems to meet business requirements.
Designs details of automated systems. May provide consultation to users in the area of automated systems. May lead cross-functional linked teams to address business or systems issues.
- Communicates with project lead and internal teams via email and direct conversation to overcome obstacles and resolve any problems.
- Prioritizes troubleshooting issues and consults with subject matter experts to troubleshoot complex production-related bugs.
- Participates in project review sessions to communicate project status and discuss complex issues.
- Prioritizes issues and consults with subject matter experts to resolve complex production-related bugs.
- Actively manages team project priorities, deadlines, and deliverables for a single project.
- Creates and reviews functional and / or system specifications that meet business user requirements, often for multiple large-scale projects.
- Leads collaboration with more junior and senior Systems Analysts and business partners to document and present recommendations for improvements to existing and new applications and systems.
- Identifies resources, delegates work, and reviews the work of team members to address changing timelines or priorities.
- Manages designated work unit by translating business plans into tactical action items, ensuring all guidelines are followed, delegating tasks to meet goals and objectives, and overseeing the completion of work assignments.
- Helps team members to determine which work tasks are most important, manages distractions, and deals with setbacks in a timely manner
Top 5 Required Skills
1. Strong understanding on financial modeling, Forecasting and Planning.
2. Expertise in AWS Cloud services (Lambda, Glue, Redshift, Athena)
3. Expertise in handling financial data, databases, and data integration Oracle SQL, PL / SQL
4. Knowledge of SQL, data warehousing, and data visualization tools (such as Tableau)
5. Stakeholder Engagement, Problem solving and troubleshooting skills.
Note : The Company is committed to complying with the California Privacy Rights Act ("CPRA") effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees.
A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our . Applicants with disabilities may access this notice in an alternative format by contacting .
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