Principal Software Engineer designing, developing, and optimizing enterprise data solutions for WM. Leading complex projects and collaborating with cross-functional teams to align technical solutions with business needs.
Responsibilities
Build data pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL/ELT tools
Design, develop and document ETL/ELT, event-driven data integration architecture solutions
Troubleshoot and tune complex SQL
Presents, communicates, and articulates technical processes effectively to all levels of the organization
Contributes strategic vision and integrates a broad range of ideas regarding applications and software data development
Work with the Business Analysts, Data Analysts, Data Architects, BI Architects, Data Scientists, and Data Product Owners to align engineering solutions with enterprise data strategies and technical standards
Provide technical leadership in coding, testing, and code reviews; Mentors and fosters growth of peers and team members
Support data quality, governance, data observability, and compliance through development of frameworks, metadata, and standards
Apply engineering best practices to ensure performance, reliability, and scalability of enterprise data solutions
Works with customers and technical staff to resolve problems with software and responds to suggestions for improvements and enhancements
Participate in the creation of technical documentation, including data flows, integration specifications, and solution designs
Stay current with emerging technologies in data management and AI
Requirements
Bachelor's Degree (accredited) in Computer Science, MIS, or similar area of study.
10+ years of previous experience required (in addition to education requirement).
Expert-level with data engineering expertise, including ETL, data warehouses, marts, and lake development
Expert-level experience working with SQL relational and NoSQL databases, query authoring
Expert-level experience working with Cloud Data Warehouse like Snowflake, IBM PureData, Google BigQuery, Amazon Redshift
Expert-level experience working with AWS cloud services: ASW Glue, EC2, S3, Lambda, SQS, SNS
Expert-level experience working with GitHub, CI/CD and its integration with the ETL tools for version control
Expert-level experience working with Informatica PowerCenter, various scripting languages, SQL, querying tools
Expert-level experience working with modern data management tools and platforms, including Spark, NoSQL, APIs, Streaming, and other analytic data platforms
Proficient level experience in data observability
Proficient level experience in Agile/Scrum project management and product ownership
Expert level in enterprise data management, integration patterns, and metadata practices
Expert level to apply architecture and analysis knowledge when working with cross-functional teams
Expert-level strong problem-solving skills with attention to detail and quality
Excellent communication skills for both technical and non-technical audiences
Proficient ability to lead, mentor, and collaborate within a high-performing engineering team
Proficient knowledge of project management/change management regarding acquisition/development life cycles
Expert level in systems development, implementation, upgrades, and analyses
Proficient in QA testing, catalyst or unified business modeling, system design, and analysis
Knowledge of enterprise coding standards
Expert level with hands-on experience in writing highly complex code
Ability to perform code reviews
Expert knowledge of software methodologies
Ability to learn new and emerging technologies
Ability to multitask, meet deadlines, and work in a fast-paced environment
Ability to adapt to change
Demonstrate flexibility and a willingness to undertake a wide variety of challenging tasks
General business knowledge and concepts
Benefits
At WM, each eligible employee receives a competitive total compensation package including Medical, Dental, Vision, Life Insurance and Short Term Disability.
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