Senior Data Engineer
the Sr. Data analyst is expected to oversee and drive to completion enterprise services programs covering a wide variety of areas including large data analytics & strategy, implementation, and adoption. The Sr. Data analyst will gain an understanding of both First American’s business and technical requirements in order to deliver accurate and on-time data from complex and highly diversified sources, presented in the most effective manner in order to drive business outcomes. The Sr. Data Analyst will also work collaboratively with First American NCS sales and technical teams to lead the design and delivery of proposed solutions to meet customer needs.
- 5+ years of experience consulting with business stakeholders and senior leaders determining their analytics needs and goals
Competencies:
list of 9 items
- Understands and meets stated needs & requirements of the stakeholders, brings contextual nuances in deliverables and work output to truly partner with
all concerned stakeholders.
- Monitors own work to ensure delivery within the desired performance standards. Understands the importance of delivery within expected time, budget and
quality standards and displays concern in case of deviation.
- Takes initiative to develop own technical / behavioral skills; reflects and learns from experiences of self and others.
- Is receptive to new ideas and different perspectives, Questions routine/ procedures that do not seem efficient and can be improved.
- Adapts to other cultures and unfamiliar situations, thinks on the feet & displays sense of urgency for completion of deliverables.
- Encourages teamwork and collaboration by promoting openness and dialogue, facilitates participation of self and other team members in organizational
decisions and motivates other team members and drives pride and positivity in work. Exhibits professionalism in conduct of work and respects others’ views.
- Works with focus to meet the goals / targets given to him / her, seeks constant feedback and Suggests ways of improving conduct of work to make it more
efficient
- Breaks down the problem in to smaller parts to analyze and chooses the best course of action with available information.
- Displays excellent verbal and written communication skills and interpersonal skills required to interact with colleagues including customer, onshore
counterpart, supervisors, team members, business analysts and business teams.
Technical Skills:
list end
- 4-6 years of experience working with business stakeholders and hands on experience creating, reporting and analysis
- Strong hands-on in PYTHON, NumPy, Pandas, R programming and / or data manipulation
- Collect, interpret, munge, move, store, and wrangle data from a wide variety of sources
- Experience with SQL design & optimizing data solutions for strong performance
- Advanced skills working with REST/SOAP/JSON and other web technologies
- Excellent communication skills including but not limited to documentation, presentation
- Advanced data presentation skills using but not limited to BI tools such as Domo, Tableau and / or PowerBI
- Advanced Excel skills including but not limited to VBA and Functions
- Serve as SME / Lead and set strategic direction concerning metrics and fields needed for our self-service environment
- Experience flexing across a wide variety of data science (analysis to predictive)
- Development experience with database platforms (Redshift, Cosmos, Aroura or Azure SQL, etc.)
- Experience with Microservices
- Deployment and CI (AWS, Kubernetes, Docker, Jenkins)
- JavaScript, React.js
- Machine Learning
- Neural Networks
- Strong project management skills
- Preferred - development experience with programming languages
- Experience with version control (Git, TFS, JIRA, etc.), AGILE and test driven development
Educational Qualification and Experience:
Minimum of 15 years of formal education - Graduate / Post Graduate in Computer Science / Information Technology.
Professional work experience of 4 to 6 years.