Sr Data Engineer

Tiger Analytics Inc.San Jose, CA
Onsite

About The Position

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. This is a 100% onsite opportunity. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Requirements

  • Seasoned Data Engineer with strong experience in designing scalable data solutions using Medallion Architecture.
  • Hands-on expertise in building and optimizing modern data pipelines and data platforms.
  • Strong understanding of cloud-based data engineering and big data technologies.
  • Excellent communication and stakeholder management skills are required.
  • Proven capability to collaborate effectively with cross-functional teams.

Nice To Haves

  • Expertise in Dataiku
  • Experience with Databricks is highly preferred, though not mandatory.
  • Exposure to Gen AI highly preferred.

Responsibilities

  • Designing, building, and maintaining data pipelines, data integration processes, and data infrastructure.
  • Collaborating closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.
  • Proactively identify opportunities for expanding client engagements and growing the team.
  • Drive data initiatives end-to-end.

Benefits

  • Significant career development opportunities
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