Principal Data Platform Engineer
1 month ago
Under general supervision, leads engineering staff with development of data software applications. As a subject matter expert, mentors and leads engineering teams and team members in software delivery within data in an agile environment.
Essential Functions:
1. Provides leadership to engineering teams utilizing data and related technologies.
2. Owns complete solution across entire life cycle while utilizing strong problem-solving ability.
3. Influences and builds vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise class business applications.
4. Holds accountability for the quality, usability, and performance of the solutions.
5. Leads design sessions and code reviews to elevate the quality of engineering across the organization.
6. Utilizes programming languages / databases (.net, sql, nosql), container orchestration services (docker and kubernetes), and a variety of azure tools and services across the software development lifecycle.
7. Executes software delivery utilizing an agile environment (scrum/kanban/safe) for continuous delivery, infrastructure as code, powershell scripting, operation portals (e.g., azure portal) and monitoring portals (e.g., splunk and application insights).
8. Mentors junior team members in data and related technology.
9. Shares best practices and improves processes within and across teams.
10. Adheres to GEICO code of conduct, company policies, and operating principles.
11. Meets attendance standard at business location to perform necessary job functions and to facilitate interaction with management and co-workers.
MEETS the requirements specified below.
• Must be able to, with or without accommodation, perform the essential functions which include, but are not limited to seeing, hearing, typing and speaking.
• Must be able to concentrate and demonstrate a capacity for learning technical concepts and adapting to new technologies quickly.
• Must be able to use a PC.
• Must be able to follow complex instructions, resolve conflicts or facilitate conflict resolution, and have strong organization/priority setting skills.
• Must be able to multi-task.
• Must be able to learn and apply large amounts of technical and procedural information and follow processes that have been published.
• Must be knowledgeable of software coding and following standards and processes that have been published and the guidelines for the design.
• Must be able to provide system training to team members as needed.
• Must be able to communicate in a clear, concise, professional oral or written manner, to be understood by customers, clients, co-workers and other employees of the organization.
• Must be able to perform under pressure and stressful situations.
• May be required to be on call for production support 24x7.
• Must be able to concentrate and demonstrate a capacity for learning technical concepts and adapting to new technologies quickly.
Must have the following experience:
o Bachelor's Degree in Computer Science (or related field)
o 5+ years of experience in data software development, using data technologies such as Relational & NoSQL databases, open data formats, and programming languages such as Python, Scala, and/or other frameworks, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading and transforming data, and developing with big data technologies such as Spark, Hadoop, and MapReduce
o 3+ years of experience designing and building for data quality assurance, reliability, availability and scalability, on existing and new data applications
o 3+ years of experience Cloud DevOps Concepts, Cloud Services and Architecture, and Azure/AWS/GCP DevOps Operational Framework
o 2+ years of experience in designing and building solutions for data security, data quality and observability, metadata management, data lineage, and data discovery
o 2+ years of experience building data software in microservices-oriented architecture and extensible REST APIs
o 2+ years of experience in open source frameworks
Desired Skills
• Demonstrated ability to independently architect, design & develop data ingestion pipelines using traditional, big data or and cloud technologies
• Highly Proficient in coding using Java, Python, Scala, R with 5 + years of experience in any combination
• Demonstrated ability in developing tools/functionality for data pipelines using Python, Java etc.
• Solid experience in Kafka, Hadoop, Spark etc.
• 2 + years' of Fivetran, HVR or related administration experience
• Designed solutions using Azure technologies like Azure Synapse, Azure stream analytics, ADF, ADLS 2, Azure Databricks, Snowflake
Benefits:
As a full time associate, you'll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
- Premier Medical, Dental and Vision Insurance with no waiting period**
- Paid Vacation, Sick and Parental Leave
- 401(k) Plan with Profit Sharing
- Tuition Assistance including Direct Billing and Reimbursement payment plan options
- Paid Training, Licensures, and Certificates
*Benefits may be different by location. Benefit eligibility requirements vary and may include length of service.
**Coverage begins with the pay period after hire date. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.
GEICO is proud to be an equal opportunity employer. We are committed to cultivating an environment where equal employment opportunities are available to all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO celebrates diversity and believes it is critical to our success. As such, we are committed to recruit, develop and retain the most talented individuals to join our team
#LI-AP1
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