Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
aws
Big data
Databricks
Delta Lake
Spark
SQL
Job Details
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.
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