The Senior Data Engineer will design and produce standardized reporting for stakeholders, develop and manage milestones for BI initiatives, and enhance the data warehouse using best practices. Responsibilities include analyzing complex table structures, prepping and cleansing data, and fulfilling adhoc reporting requests.
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We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python, Azure Data Factory, Synapse, Databricks and Fabric, as well as a solid understanding of ETL and data warehousing end to end principles. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.
Candidates will be considered for the appropriate level depending upon experience and qualifications. This person will act as financial data steward for Liberty Mutualβs financial data. Working with the Business, IT and Corporate Finance, this person will help shepherd data through our strategic data platform Financial Data Resources (FDR).
The Data Engineer I supports the design, development, and maintenance of data pipelines and workflows, assists in data integration and transformation processes using tools like Python, T-SQL, SSMS, and Databricks, and collaborates with other Data Engineers to understand technical aspects and architecture design. They will work with large and complex healthcare data sets and help in translating business requirements into technical specifications.