Senior Software Developer

Fidelity National Financial•Maitland, FL

About The Position

Property Insight is hiring for a software developer to work within a data development team engaged in various back-end software solutions. These solutions must be aligned with business and IT strategies and comply with the organization’s architectural standards. Apply the full systems life cycle, design, coding, testing, implementation, maintenance and support of applications software that is delivered on time and within budget. This role offers ample opportunity for growth within the team, including leadership positions and the ability to take on more complex projects.

Requirements

5+ years of professional experience in back-end software development.
Proficiency in development technologies such as C# .Net, Visual Studio, and SSIS. Experience with additional tools like Azure Data Factory, Power BI or SSRS is a plus.
Mastery working with data technologies such as SQL Server, JSON, XML.
Strong technical background with a mix of data, programming and workflow automation skills.
Experience building and optimizing data pipeline architectures, data ingestion and workflow management tools.
Exceptional analytical, decision-making and problem-solving skills.
This person will have a solid understanding of systems analysis, design, development, integration methodologies and quality assurance.
Excellent communication skills are essential to explain complex technical concepts to non-technical stakeholders and assist junior developers in skill development.

Nice To Haves

Working knowledge of cloud-based data services (Azure, AWS, GCP, etc.).
Background with project management in an Agile/SCRUM environment using Azure DevOps.
Proficiency using reporting tools such as Power BI, SSRS, etc.
Database Administration and Relational database schema design.
SQL Server T-SQL Tuning.
Visio Flow Charting.
Entity Relationship Diagraming and Data Dictionary Creation.
Alternative database technologies such as NoSQL, Cosmos DB, and MongoDB.
Additional technologies such as Elasticsearch, Azure Data Lake, Docker, Kubernetes, Data Bricks

Responsibilities

Design, develop, test, deliver and support of reliable, automated big data ETL, integration and product delivery solutions.
Participate in project meetings with other technical staff, business owners and subject matter experts.
Work within a collaborative environment with minimal supervision where teamwork and communication are key but also provides opportunities for self-directed work and problem-solving.
Participate in component and data architecture design, performance monitoring and product evaluation.
Perform code reviews to ensure the code quality and best practices are maintained.
Able to multitask in a fast-paced environment with focus on timeliness, documentation, and communication with peers and business users alike.

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