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Chief Data Engineer

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Senior Data Strategist Position

We seek a senior data strategist to lead our data architecture, design and implement scalable data pipelines, and collaborate with stakeholders to achieve business objectives.

The ideal candidate will be experienced in designing and deploying production-grade data warehouses, have expertise in data governance frameworks and data cataloging tools, and possess excellent problem-solving, communication, and collaboration skills.

Key Responsibilities:
  • Data Architecture Design
  • Pipeline Development
  • Collaboration with Stakeholders
  • Database Administration
  • Data Quality and Security
  • Ai/Ml Integration
  • Reporting Frameworks
  • Integration with Enterprise Systems
  • Data Governance Strategies
  • Troubleshooting and Documentation
Required Skills and Qualifications:
  • 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.
Benefits:

This role offers opportunities for career growth, professional development, and collaboration with talented individuals in the industry. You will work on challenging projects, develop new skills, and contribute to innovative solutions that drive business success.

Preferred Qualifications:
  • 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