GCP Data Engineer

Job Title: Senior Data Engineer The Opportunity... As a Senior Data Engineer, you’ll build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms. How You'll Contribute... • Build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms. • Design and implement scalable, reliable software data pipelines supporting business analytics. • Serve as a subject matter expert (SME) for software data flows, pipelines, and reporting logic. • Proactively identify data dependencies, risks, and optimization opportunities across software systems. • Partner with analytics, BI (Business Intelligence), and business stakeholders to deliver trusted, performant data solutions. • Provide technical guidance to peers and help raise overall software engineering standards across the team. • Take ownership of projects from design through production, including documentation and knowledge transfer. What We're Looking For... • Master’s degree or foreign equivalent in Information Systems, Data Science, Data Analytics, Computer Science, Computer Engineering, or related field. • Five (5) years of work experience in the position offered, as a Data Engineer, Software Developer, or related occupation. • Must have experience with the following: o Working in a production data environment, with responsibility for building, maintaining, and supporting data pipelines and platforms; o Leading cloud data migrations and platform modernization efforts, including planning, execution, and support of production systems during and after migration; o BigQuery, Snowflake, and cloud-based data architectures, including designing, optimizing, and operating scalable data solutions in cloud environments; o Migrating, supporting, and maintaining BI and reporting platforms such as Looker (Mode experience), including ensuring data accuracy, performance, and reliability of reporting; o SQL (Structured Query Language) and Python, with demonstrated ability to troubleshoot and resolve complex data quality, performance, and integration issues; o Working with ETL/ELT (Extract, Transform, Load) tools (Talend) and modern data pipeline patterns, including data ingestion, transformation, orchestration, and monitoring in production environments; o Building and managing marketing data integrations, including integrations with search engines, social media platforms, and other third-party marketing data sources; o Internal and external API (Application Programming Interface) integrations, including ingesting, validating, and maintaining data from third-party and internal systems; o Data warehousing concepts, including dimensional modeling, performance optimization, and cost aware design in cloud data platforms; o Own and deliver complex technical solutions end-to-end (design, implementation, and support) using distributed systems, cloud platforms (one of the following: AWS (Amazon Web Services), GCP (Google Cloud Platform), Azure), data frameworks (one of the following: Spark, Kafka), and programing languages (one of the following: Python, C#, SQL), while prioritizing effectively and balancing speed, quality, and long-term goals; o Work independently while collaborating cross-functionally (engineering, analytics, product, and business), using tools such as Git, Jira, and BI platforms (one of the following: Tableau, Looker, Power BI), and proactively managing workstreams and contributing to team standards; and o Communicating complex technical concepts to diverse audiences, translating data architecture into clear documentation and diagrams using tools including Miro Lucidchart, draw.io, Confluence, and Notion.