Sr AWS Big Data Engineer (development background)

Role : Sr AWS Big Data Engineer (development background)Location : Mountain View, CA (100% onsite) Must have : Strong Cloud & Big Data Expertise:o Proficiency with the AWS data ecosystem (S3, Glue, Lambda, Redshift, etc.).o Hands-on experience with Databricks, including Delta Lake and Spark (PySpark or Scala).• What You'll Do• Design & Build Data Pipelines: Architect, build, and maintain efficient and reliable data pipelines to ingest, process, and transform data within our AWS-based data lake and Databricks platform.• Develop Data Marts & a Metrics Store: Create and own curated, analysis-ready data marts that support critical product initiatives, including multi-product customer onboarding funnels and a centralized metrics store.• Drive Data Integration: Lead complex data integration projects, unifying data from across the Intuit ecosystem, including sources like TurboTax, Credit Karma, and QuickBooks, to create a holistic view of our customers.• Empower Data-Driven Decisions: Collaborate closely with the data analytics team to understand their needs, providing them with high-quality, trusted data sets that enable them to deliver key insights and reporting.• Champion Data Quality & Governance: Implement best practices for data modeling, data quality, and data governance to ensure the consistency and reliability of our data assets.• Thrive in Ambiguity: Work in a fast-paced, agile environment, demonstrating a strong ability to navigate unclear requirements and proactively drive projects to completion.• What We're Looking For• Proven Data Engineering Experience: 5+ years of hands-on experience in a data engineering or analytics engineering role, with a track record of building and managing complex data pipelines.• Strong Cloud & Big Data Expertise:• Proficiency with the AWS data ecosystem (S3, Glue, Lambda, Redshift, etc.).• Hands-on experience with Databricks, including Delta Lake and Spark (PySpark or Scala).• Expert-Level SQL & Data Modeling: Exceptional SQL skills and a deep understanding of data modeling concepts (e.g., dimensional modeling, star schemas) and data warehousing principles.• Exceptional Communicator: The ability to clearly and effectively communicate technical concepts to both technical and non-technical audiences. You are comfortable leading discussions and building consensus.• Collaborative & Product-Focused: A team player who is passionate about understanding the "why" behind the data and is dedicated to building solutions that drive business and product success.• Problem-Solving Mindset: You are intellectually curious, enjoy tackling complex challenges, and are comfortable with ambiguity.• Fintech Experience (Bonus): Previous experience working in the fintech or financial services industry is a strong plus.