What are the responsibilities and job description for the Sr Data Engineer position at Tiger Analytics Inc.?
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. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
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.
- 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.
- Experience with Databricks is highly preferred, though not mandatory.
- Strong understanding of cloud-based data engineering and big data technologies.
- Exposure to Gen AI highly preferred.
- Excellent communication and stakeholder management skills are required.
- Ability to proactively identify opportunities for expanding client engagements and growing the team.
- Proven capability to collaborate effectively with cross-functional teams and drive data initiatives end-to-end.
- 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.
Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.