Senior Data Warehouse Developer

6 days ago

King of Prussia, Pennsylvania, United States Worldwide Insurance Services Full time
Job Description

Job Summary: The Senior Data Warehouse Developer will oversee building data warehouse solutions and providing technical leadership within the Data Analytics team at Worldwide Insurance Services. They will work closely with cross-functional teams to architect, design, develop, and maintain scalable data warehouse solutions using Snowflake and related technologies.

Key Responsibilities:

  • Lead Data Warehouse Solutions: Collaborate with the Director of the area to design and architect data warehousing solutions, leveraging expertise in data architecture principles and best practices.
  • Develop ETL and ELT Processes: Manage the development of robust ETL and ELT processes for ingesting, processing, and transforming data from diverse sources into our data warehouse, ensuring reliability, scalability, and efficiency.
  • Optimize Data Warehouse Performance: Identify and resolve bottlenecks, fine-tune query performance, and optimize the performance of our data warehouse environment.
  • Establish Data Governance: Develop and implement data governance policies, oversee data quality initiatives, and implement data validation and cleansing processes to ensure data accuracy, completeness, and consistency.
  • Assess Scalability Requirements: Evaluate the scalability requirements of our data warehouse infrastructure and develop capacity planning strategies to accommodate future growth and expansion.
  • Implement Security Measures: Work closely with security teams to implement access controls, encryption mechanisms, and auditing procedures to protect sensitive data stored in the data warehouse.
  • Provide Leadership and Guidance: Provide leadership, guidance, and mentorship to data engineers, developers, and other team members, fostering a culture of collaboration, innovation, and continuous learning.
  • Partner with Stakeholders: Partner with stakeholders to understand their data requirements, prioritize initiatives, and deliver solutions that meet business needs and objectives.
  • Stay Up-to-Date with Emerging Technologies: Evaluate new tools, platforms, and methodologies, assessing their suitability for our data warehouse environment and recommending adoption strategies that align with our long-term goals and objectives.
  • Drive Continuous Improvement: Drive a culture of continuous improvement and innovation, seeking opportunities to optimize processes, streamline workflows, and introduce innovative solutions that enhance the performance, reliability, and agility of our data warehouse environment.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 4 years of experience in data warehouse development and administration for on-premise and cloud data warehouse solutions.
  • Extensive experience with Microsoft SQL Server, including proficiency in T-SQL scripting, stored procedures, and performance tuning.
  • Hands-on experience with SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS).
  • Proficiency in Snowflake Data Warehouse, including designing data models, writing SQL queries, and optimizing performance.
  • Experience with modern data transformation tools such as DBT (Data Build Tool) for cloud transformation.
  • Experience training and transitioning on-premises resources to new cloud technologies.
  • Proficient in using Rivery as an extraction tool for data ingestion and integration.
  • Familiarity with cloud computing platforms such as AWS, Azure, or GCP.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

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