Develop pipelines to support analytical models, visualizations, and BI tools.
Collaborate with investment teams to align the data warehouse with analytics needs.
Automate reporting to streamline decision-making.
Architect and build an in-house data warehouse with scalable, reliable infrastructure.
Ensure data governance and security across the platform.

🎯 Requirements

8+ years in Data Engineering, SWE, Data Science or Quantitative Development.
Strong programming skills; experience with SQL, Snowflake, Spark.
Expertise in data pipelines and data integration tools (DBT, Dagster).
Understanding of data modeling and architecture design.
Strong problem-solving and critical-thinking abilities.
Teamwork, proactive/self-starter, results-oriented, integrity.
Cloud architecture, Linux, Docker/Kubernetes.
Familiarity with Tableau/Power BI and Intex Tools is a plus.

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