Collects, reads, and migrates large volumes of raw data from multiple data sources and across disparate platforms, using PL-SQL and NoSQL, and ETL tools. Modernizes core enterprise recordkeeping capabilities using Amazon Web Services (AWS) and Azure. Builds software applications using tools — Python, Java, and Scala. Drives platform evolution and provides technical leadership in data engineering and Test Driven Development (TDD) for software applications. Drafts business value-oriented user stories. Works with large volume data implementations, Data Analysis, and application platform development for a global customer base in an Agile environment. 

Primary Responsibilities: 

•Analyzes information to determine, recommend, and plan computer software specifications on major projects and proposes modifications and improvements based on user need. 

• Develops software system testing and validation procedures, programming, and documentation. 

• Develops original and creative technical solutions to support on-going development efforts. 

• Designs applications or subsystems on major projects and for/in multiple platforms. 

• Develops applications for multiple projects supporting several divisional initiatives. 

• Supports and performs all phases of testing leading to implementation. 

• Assists in the planning and conducting of user acceptance testing. 

• Develops comprehensive documentation for multiple applications supporting several corporate initiatives. 

• Performs post-installation testing to identify and resolve technical problems. 

• Establishes project plans for projects of moderate scope. 

• Develops technical modules in support of complex assignments and multi-phase projects. 

• Performs independent and complex technical and functional analysis for multiple simultaneous projects. 

Education and Experience: 

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) migrating on-premises applications to the Cloud. 

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Principal Data Engineer (or closely related occupation) migrating on-premise applications to the Cloud. 

Skills and Knowledge: 

Candidate must also possess: 

• Demonstrated Expertise (“DE”) building resilient and scalable Cloud solutions using Microsoft Azure Services. 

• DE building data movement patterns using ETL tools; and migrating data between heterogeneous datastores using Azure Data Factory (ADF), PL/SQL, and Informatica Intelligent Services. 

• DE optimizing Oracle database and data transformation capabilities; and performing performance tuning using EXPLAIN PLAN and AWR reports. 

• DE in the Software Development Lifecycle (SDLC) — analyzing, designing, implementing, and performing version control (using Git/Bitbucket) and post-installation validation; and building applications in Artifactory using pipeline automation tools (Jenkins Core and Script).