Principal Data Engineer

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).