Data Engineer Sr

We're adding to our diverse team of experts and are looking to hire those who are committed to building a culture that enables the creation of innovative solutions for our business units and clients. We will consider a range of experience for this role and the offer will be commensurate with that.

The Company

As a member of Munich Re's US operations, we offer the financial strength and stability that comes with being part of the world's preeminent insurance and reinsurance brand. Our risk experts work together to assemble the right mix of products and services to help our clients stay competitive - from traditional reinsurance coverages, to niche and specialty reinsurance and insurance products.

Company

Munich Re America Services

Location

Princeton
, United States

We are seeking an experienced Senior Data Engineer to join our team. The ideal candidate will have extensive experience working with the Azure stack, including Databricks, and expertise in cloud ETL tools such as Informatica. Strong skills in cost optimization and performance optimization are essential, as is a deep understanding of SQL.

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines and ETL processes leveraging Azure services and Databricks.
• Implement robust data transformation and data integration solutions using Informatica or other cloud ETL tools.
• Optimize data processing workflows for cost-effectiveness and performance, ensuring high availability and reliability.
• Write complex SQL queries and stored procedures to extract, transform, and load data from various sources. Collaborate with cross-functional teams, including data analysts and business stakeholders, to understand data requirements and translate them into technical solutions.
• Constantly research and evaluate new technologies, tools, and best practices to enhance the data engineering capabilities of the organization.
• Mentor and provide guidance to junior data engineers, sharing knowledge and best practices.
• Participate in project planning, estimation, and delivery to meet business objectives.

Required Skills and Experience:

• Extensive hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns - ETL tooling - ADF, Notebooks, Databricks, Delta Lake, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred.
• 5+ years of experience as a data engineer, with a strong focus on the Azure stack and Databricks.
• Experience with on-prem and cloud versions of databases such as Oracle and SQL Server.
• Cloud data processing in Azure, AWS, or GCP
• Proficient in using cloud ETL tools, such as Informatica, ADF to design and implement data pipelines.
• Proven track record in cost optimization and performance optimization of data processing workflows.
• Excellent SQL skills, including advanced querying, optimization, and writing stored procedures.
• Experience in data modeling, data architecture, and data warehousing concepts.
• Strong programming skills in languages like Python, Scala, or Spark.
• Familiarity with version control systems (e.g., Git) and DevOps practices (CI/CD).
• Experience in migrating data and associated systems from on-prem to Cloud environments Ability to work collaboratively in a cross-functional team environment. Strong problem-solving and critical thinking skills. Excellent communication and interpersonal skills.
• Ability to work in a demanding and fast-paced environment.
• Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, AzureDevOps).
• Professional certifications in public cloud and tooling - Informatica and Azure are highly desired.
• Experience with scheduling tools such as Control-M preferred.
• Master Data Management/RDM tools: Informatica MDM, IBM MDM, Reltio, R360 is a plus
• Prior experience in insurance and/or reinsurance in support of specialty lines is a plus.