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Job Summary">

We are seeking a skilled data professional to design, develop, and govern our data architecture and pipelines.

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The ideal candidate will possess expertise in building scalable and robust data architectures for data warehousing and enterprise data platforms.

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Responsibilities include:

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  • Designing and implementing data pipelines and ETL/ELT/CDC (Change Data Capture) workflows using tools such as Fivetran and Cloud Composer.">
  • Collaborating with data scientists, product managers, and business stakeholders to define data requirements and create logical and physical data models.">
  • Managing and administering various database systems, including BigQuery, SAP HANA, and PostgreSQL.">
  • Ensuring data quality, integrity, and security across all data platforms and pipelines.">
  • Designing data serving layers and feature stores that support Vertex AI workloads.">
  • Developing reporting frameworks and data marts to support business intelligence needs.">
  • Integrating data platforms with various enterprise systems (CRMs, ERPs) and third-party APIs.">
  • Defining and implementing data governance, master data management, and data cataloging strategies.">
  • Contribution to the full data lifecycle: requirements gathering, architecture, data modeling, development, testing, and deployment.">
  • Troubleshooting and resolving data platform issues to ensure high availability and optimal performance.">
  • Documenting technical designs, data lineage, and architecture for cross-functional reference.">
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Required skills include:

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  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.">
  • Proficiency in one or more backend languages/frameworks, with a strong preference for Python or Go.">
  • Experience with building RESTful APIs and designing microservices for data delivery.">
  • Solid grasp of data modeling fundamentals, including Kimball and Inmon methodologies.">
  • Proficiency in writing complex SQL queries and experience with SQL and NoSQL databases.">
  • Familiarity with data warehousing concepts and best practices, including CDC.">
  • Strong version-control habits (Git) and experience with CI/CD pipelines.">
  • Excellent problem-solving, communication, and collaboration skills.">
  • Passion for continuous learning and adapting to emerging data technologies.">
">Preferred Qualifications">

Additional qualifications include:

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  • Hands-on experience designing and deploying production-grade data warehouses.">
  • Deep experience with Google Cloud Platform (GCP): BigQuery for large-scale analytical workloads, Cloud Composer for orchestrating complex data pipelines, Vertex AI for AI/ML model serving and feature stores.">
  • Experience with other cloud providers (AWS, Azure) and their data services.">
  • Working knowledge of data governance frameworks, master data management, and data cataloging tools.">
  • Experience with data ingestion tools like Fivetran.">
  • Business-intelligence expertise in building dashboards and reports with Power BI or Tableau.">
  • Familiarity with other data technologies such as SAP HANA.">
  • Understanding of MLOps concepts and their application to data pipelines.">
  • Contributions to open-source data projects or technical blogging/presentation.">
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