Data Engineer at Morgan Lewis & Bockius in Philadelphia, PA

Job description

Morgan, Lewis & Bockius LLP, a leading global law firm with offices in major commercial, legal, and governmental hubs worldwide, is seeking a Data Engineer. Reporting to the Data Warehouse Manager, the Data Engineer is responsible for supporting the Firm’s data services, with a focus on data integration, data warehousing, SQL development, ETL/ELT processes, data pipeline development and support, troubleshooting, and modernization initiatives. This position will reside in our Philadelphia office with a hybrid in-office/remote working schedule. Responsibilities Contribute to the Firm’s SQL Server/SSIS-based ETL processes and cloud data platforms, including Azure and Microsoft Fabric. Develop, support, and modernize data integration and warehousing solutions using SQL Server, SSIS, Azure SQL, Azure Data Factory (ADF), Microsoft Fabric, and Fabric Data Factory/Data Flows (FDF). Support data warehouse and OLTP environments, including data ingestion, transformation, dimensional modeling, data quality, performance optimization, and integration. Collaborate with Business Analysts, Data Architects, Developers, DBAs, and other IT teams to define and implement data. Analyze data sources, interfaces, and dependencies and develop data flow diagrams, ERDs, source-to-target mappings, data lineage, and other technical documentation. Design and support data integration solutions considering transaction volumes, data availability and timeliness, regulatory and retention requirements, security, privacy, and system dependencies. Troubleshoot, diagnose, and resolve production data, database, and integration issues, coordinating with other IT teams as needed. Develop and maintain SSIS packages, Azure Data Factory and Fabrice Data Factory pipelines, SQL Server objects. Education and experience A bachelor’s degree from four-year college or university and a minimum of 5 years of experience, including 3 years of SQL development experience. Hands-on experience with Azure Data Factory (ADF), Fabric Data Factory (FDF), including pipeline development, data integration, transformation, orchestration, and integration with on-premises and cloud data sources as well as Lakehouses for FDF. Working knowledge of Microsoft Fabric and modern cloud data warehouse architectures, including Fabric Data Warehouse, Lakehouse, OneLake and analytics services. Experience designing and implementing cloud-based ETL/ELT solutions using Microsoft Azure and Fabric. Experience with Online Transaction Processing (OLTP) using Microsoft SQL Server Understanding of Data Warehouse Design including Data Marts, Multidimensional database design, Fact Tables, Star and Snow-flake, Schemas. Hands-on experience in SQL and stored procedure tuning, database reorganization. Strong verbal and written communication skills. Self-starter and strategic thinker with problem solving skills. Computer skills including; MS Office (MS Word, PowerPoint, Excel) Certifications: recommended but not required: Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics DP-700 – Fabric Data Engineer Associate DP-600 – Fabric Analytics Engineer Associate Morgan, Lewis & Bockius LLP is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value inclusion and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, veteran status, gender identity, genetic information, or any other characteristic protected by federal, state, or local law. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment qualified applicants with arrest and conviction records. California Applicants : Pursuant to the California Consumer Privacy Act, the following link contains the Firm's California Consumer Pri